Declaration Of Sentiment Analysis

Declaration Of Sentiment Analysis
In 1848, Elizabeth Stanton and Lucretia Mott organized a women's rights convention. The
convention was held to address the social, civil, and religious condition and rights of women. The
first day meeting began with women exclusively invited, the second day was held for the public
which included men. Elizabeth wrote the Declaration of Sentiments which is a disquisition about
women's right and their role in society. In the SENECA FALLS WOMEN'S RIGHTS
CONVENTION, the author emphasizes the importance of women's participation in leadership roles
in society. By mimicking the Declaration of Independence Stanton was able to speak amongst many
who were concerned about equality with men before the law, in education, and employment. During
the 18th century, ... Show more content on Helpwriting.net ...
Men had more rights in governmental affairs such as owning property, attending institutions, and
voting. However, women did not have a voice about political and social economical issues. The
Declaration of Independence states that all men are created equal ;however women are discounted.
In the treatise she states, "The history of mankind is a history of repeated injuries and usurpations on
the part of man toward woman, having in direct object the establishment of an absolute tyranny over
her. To prove this, let facts be submitted to a candid world." This specific line portrays women as
objects of mistreatment and women will therefore put an end to it. The Declaration of Sentiments
also addresses the religious conditions and rights of women by stating,"He has usurped the
prerogative of Jehovah himself, claiming it as his right to assign for her a sphere of action, when that
belongs to her conscience and to her God" meaning that he is telling her what to do which only God
should be her only leader. However, not only did this create issues for women, but also an argument
sprawled between African American men voters and women. It was argued that women should have
the right to vote over African American men
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Questions On Cognitive Software Design
Sentiment Analysis
David Studdard
January 8, 2016
Cognitive Software Design
Dr. Steve
South University
This article investigated some of the fundamental research issues inside of the field of sentiment
analysis and examined several algorithms that intend to understand each of these issues. It has also
portrayed a percentage of the major applications of sentiment analysis and gave a couple significant
open difficulties. Numerous commercial sentiment analysis systems still utilize oversimplified
systems so as to maintain a strategic distance from these open difficulties also, subsequently their
execution takes off a ton to be sought. Giving satisfactory answers for these difficulties will make
the region of sentiment analysis significantly more widespread across the board. Sentiment analysis
(or Opinion mining) is characterized as the errand of finding the opinions of creators about
particular elements. The choice making procedure of individuals is influenced by the conclusions
shaped by thought leaders and ordinary individuals. At the point when someone needs to purchase
an item online he or she will commonly begin by hunting down surveys and opinions composed by
other individuals on the different offerings. Sentiment analysis is one of the most sizzling research
regions in computer science. With NLP, while handling the configuration of cognitive systems, a
noteworthy zone of work goes for empowering machines to prepare both composed and spoken
types of common

Declaration Of Sentiments Analysis
The "Declaration of Sentiments" authored by Elizabeth Cady Stanton from the Seneca Falls
Convention is a document that insists in written form that the government should allow women to
practice their rights. Back then, women were not allowed to vote or use their voice but, now during
the times "The Awakening" was written by Kate Chopin, women had more privileges and rebellious
attitude. The main character, Edna Pontellier has more freedom and self–rule than any other woman
back in 1848.
The purpose of the "Declaration of Sentiments" is that to release the oppression from the
government giving to women, to state that men and women are created equal. The document stated
that "In the covenant of marriage, she is compelled to promise obedience to her husband, he
becoming, to all intents and purposes, her master–the law giving him power to deprive her of her
liberty, and to administer chastisement."(Stanton.9) Explaining that no matter what, the woman is
seen as an object in the eyes of the court, not as a human, treated as property. Women were
submissive and were deprived of education. The women had only one thing to do, ... Show more
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The author stated, "He reproached his wife with her inattention, her habitual neglect of the
children." (Stanton.9) Demonstrating that even though Edna is ignoring her children's needs, his
children, Leonce will never hit her as for punishment. Showcasing that she gets to use her voice, she
gets to get away with not being the proper mother as women were once before. She is allowed to
have a friendship with another man and not be seen as a scandalous woman in the society. She has
more freedom than the previous woman had, sunbathing with her dear Robert. Since she is a Creole,
who is not oppressed by cultural norms, her husband does not see that as a threat but that does not
mean he stops seeing her as an object like others men

The Field Of Information Retrieval And Web Analysis
ABSTRACT
Opinions play a crucial role in the decision making process. Analysis in the field of making
decisions and setting policies has shown that sentiment analysis and Opinion mining has become
increasingly important in the field of Information Retrieval and Web analysis. In the past years, the
growth of user generated data in web forums, social networking sites and other social platforms is
tremendous, which diverts our study towards mining the opinions on web. In this paper, we have
presented a novel methodology to classify the tweets and the complete opinion mining system is
explained on the basis of survey and analysis. A flowchart has been proposed in which the overall
picture of classification of twitter data has been proposed and accuracy of the evaluation strategies
by various supervised learning algorithms has been evaluated. Review data is collected for various
product domains from micro blogging sites like twitter, face book.
Keywords
Opinions, Web mining, Sentiment Analysis, Supervised Learning, Mining.
1. INTRODUCTION
In recent years, we have witnessed that a huge amount of opinionated text is available which have
greatly influenced our social and political systems. Twitter messages posted online is about 250
millions per day which forces the organizations to observe their status and brands by extracting and
analyzing the sentiments of the tweets shared online. To keep track of products and brands on the
basis of their positive or negative views can be done

Comparing Elizabeth Stanton’s Declaration of Sentiments...
Elizabeth Cady Stanton's Declaration of Sentiments and The Women's Bible
Elizabeth Cady Stanton was one of the most renowned women to lead campaigns for women's
rights. Her efforts were focused on "opportunities for women, for married women's property rights,
the right to divorce, and the right to custody of children; her most radical demand was for women's
right to vote" (Davidson and Wagner–Martin 845). In general Stanton wished to instill independence
and self–reliance in all women. Stanton was an inspiring orator of speeches including the
Declaration of Sentiments as well as the book The Women's Bible. Upon analysis of her speeches
and other works, as well as gaining knowledge of her background, one is able to assume that ...
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Much of her knowledge was gained by time spent in her fatherâs office reading law books and
listening to his conversations with clients. Stanton refused to allow societyâs constraints to limit her
ability to excel as mush or more than a young man does. In taking on this conviction, she later in life
attempted to have changes made to allow women to attend the same schools (colleges) that men
attended.
In the experiences Stanton witnessed between clients and Mr. Cady, one particular incident farther
provoked Stanton to seek rights for women. In this certain case an ex servant of the family was
attempting to regain property that she had purchased before her marriage. Apparently her deceased
husband had will the property to his son and the woman was left with nothing. Mr. Cady informed
the lady that even though she had purchased the property before wedding, that according to the laws
concerning wedlock, all property, earnings, and children were relinquished to the husband. Elizabeth
could not believe that the laws were so unjust and that there was nothing her father could do to help
the woman regain what was rightfully hers. Being a small child at the time, Stanton told the client
that she would search through every law book and cut out any laws that

Research Frameworks Used For Mining And Summarization Are...
Abstract– Nowadays medical data has been search by people for gathering the more and more
information about drugs. The dialog discussions on chronic diseases and drug, as well as online
audits and sites are getting to be more important assets for patients. Patients read online reviews,
blogs and discussion forum ideas to get information from other patients with similar condition.
Reviews of medication from patients are largely available on the internet. Partitioning data from
these significant collections of writings is helpful in testing. Extracting these huge medical data is
challenging. In this survey paper, various research frameworks in drugs reviews are analyzed as well
as the approaches used for mining and summarization are also discus. Paper also focuses on
sentiment analysis methods which used to extract subjective information from database.
Keywords: Text mining, opinion mining, aspect mining, sentiment analysis
I. INTRODUCTION: All over the world, people through internet are connected and share their
opinion. People are interested in official information as well as service and product that are available
through online. To analyze different kinds of domain and aspect, online reviews, forums and blogs
are used. Rapidly, internet become a dense network through which people not only access
information but also interact with each other [1]. These reviews and blog trend can also be observed
in health care where patients and their family share the information which

Sentiment Analysis Sample
100GB–TB, the data type is usually historical, summarized, multidimensional, integrated and
consolidated. OLAP use complex query, and the underline structure is cube, "in relational database
systems, OLAP cubes are constructed from a fact table and one or more–dimension tables [1]. It is
ad–hoc, and not for everyday repetitive use. The users for OLAP system maybe about hundreds of
people, but the records can be access can reach millions, comparing to OLTP which can have
thousands of users and only can access tens of records. Section III. Unstructured Data Processing
Unstructured data are the data that do not have a recognized structure, they usually contain large
amount of Texts. These types of data increase the level of difficulty to ... Show more content on
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One of the most important feature of this new software is sentiment Analysis. "Document–level
Sentiment Analysis: Determine the overall sentiment of a piece of text or document, works great on
articles, blogs, reviews and social comments. Aspect–based Sentiment Analysis: Extract specific
aspects from a piece of text and determine the sentiment towards each aspect individually, works
great on airlines, hotels and restaurants." [2]. Another very useful new unstructured data processing
software is IBM SPSS Text Analytics for Surveys. The key features are Automated categorization
and reuse, NLP features, Visualization and collaboration and Data Management. It is specially
designed for analyzing survey which help business grasp the review and comments for statistical
analysis. "The software creates categories or use prebuilt categories for customer, product and
employee satisfaction surveys, can quickly extract key concepts and opinions, and intervene
manually to refine your results, save time and make results more consistent" [3]. Also, it can identify
between positive and negative reviews without reading the whole sentence, and distinguish six
different language surveys, which can be translated to English. Rapid Miner Text Mining and IBM
SPSS Text Analytics for Surveys have characteristic differences from OLTP and

Factors That Affect The Combined Analysis Of Sa And Iud
In this section, we present a four–step methodology to quantify distinct factors that affect the
combined analysis of SA and IUD in real domains, as well as the potential benefits of this type of
analysis. Basically, the proposed methodology takes into account the domain 's temporal dynamics,
the sampling sensitivity of the methods and the observed reciprocity between the collective opinion
and opinions propagated by opinion–leaders. Through this methodology, we intend to quantify some
important issues related to combine SA and IUD. We are not assuming a closed and complete
assessment on all existing issues, which comprise promising research directions for the
area.looseness=–1
subsection{Temporal Dynamics Analysis}
A main ... Show more content on Helpwriting.net ...
First, we derive the collective opinion $O$ of a whole data sample $D$, using a SA method existing
in the literature. Specifically, we adopt in this work the method SACI cite{jws2015}. SACI is
relevant to our goal since it was originally proposed for estimating efficiently collective sentiment
on data samples, instead of aggregating the sentiment derived for each individual document. Further,
the authors demonstrated that SACI is more effective in estimating the collective opinion than
aggregation–based SA methods. SACI represents $O$ as a distribution probability among the
sentiment classes positive, negative and neutral. Thus, we split $D$ into time units of equal size
(e.g., days, weeks, months). Then, we estimate the collective opinion $O_t$ using only the posts
belonging to each distinct time unit $t$. Finally, we perform a visual inspection on the derived
distributions. The more dynamic a domain, the more different are opinions estimated on distinct
time units.looseness=–1
In turn, we measure drifts on the subset of opinion–leaders over time as follows. First, we identify
the ordered list $L$ of top–k opinion–leaders on $D$ by using an IUD method. Specifically, we use
the presented in cite{iccs2015}, a meta–learning strategy based on PCA that combines linearly
orthogonal information exploited by distinct state–of–the–art IUD methods. We will call this method
as PCA–IUD. We chose PCA–IUD since it combines

Sentiment Analysis In A Movie Review
Abstract – While sentiment analysis provides fantastic insights and has a wide range of real–world
applications, the overall sentiment of a piece of text won't always pinpoint the root cause of an
author's opinion. Certain types of documents, such as movie reviews, may contain fine–grained
sentiment about different aspects about the service that are mentioned in text. A review about a
movie may contain opinionated sentences about its story, cast and direction. This information can
help users understand the positive and negative parts of a movie. Aspect–based sentiment analysis
makes it easier to identify and determine the sentiment towards specific aspects in text. To identify
different aspects of a movie, the application needs to determine the context of a particular sentence
or group of sentences in the movie review. These contextual groupings can then be mapped to
various aspects of a movie, hence enabling us to score aspects based on their sentiment.
Keywords–sentiment analysis, aspect–based, concept resolution, infrequent feature extraction,
opinion mining
Introduction
Currently there are a large number of systems that are targeted at feature extraction from a set of
data, which further helps in opinion mining and frequent feature extraction. ... Show more content
on Helpwriting.net ...
One is a simple NaiveBayes classifier for review classification. The other is the implementation of
doc2vec model which generates relative vectors of word embeddings. [5] After the infrequent
feature extraction is performed on the NYT movie review text, each opinion–sentence is sent to this
sentiment analysis module. The module deals with one system identifying the classification of the
input text. The other system gives a score to the text which denotes how strong the sentiments
behind the input text are. The datasets used for training are the IMDB movie reviews for review

The Methods For Sentiment Analysis
III. APPROACHES OF SENTIMENT
ANALYSIS.
Sentiment analysis consists of various elements out of which lexicons are an integral part. These
lexicons are nothing but the words which make up a sentence. These lexicons can also be known as
sentiment lexicon or opinion lexicons. It is important that we classify the lexicons we have into
positives or negatives in order to achieve review analysis. One of the methods for sentiment analysis
and classification is done on the basis of these lexicons. There are two broad approaches for
sentiment analysis. These are lexicon based approaches and machine learning based approaches.
These approaches are further divided into different methods as shown in the figure given below.
Fig. 2 Sentiment analysis flow
Let us consider each approach in more detail.
A) Machine Learning Approaches
Machine learning methods include the concepts from soft computing field. These methods are
classified as supervised and unsupervised methods. The supervised methods can either be
probabilistic classifiers else it can be linear classifiers. Probabilistic classifiers include algorithms
which use probability to find the classification and then separate the lexicons based on probabilistic
calculations. In this approach we use data driven methods, which include the following algorithms.
a. Naïve Baye's Classifier: This algorithm includes the use of Baye's theorem for determining the

Advantages And Disadvantages Of Opinion Mining
The work of a complete review or opinion mining application might involve attacking each of the
following problems. If the application is integrated into a general–purpose search engine, then one
would need to determine whether the user is in fact looking for subjective material. This may or may
not be a difficult problem in and of it: perhaps queries of this type will tend to contain indicator
terms like "review", "reviews", or "opinions", or perhaps the application would provide a
"checkbox" to the user so that he or she could indicate directly that reviews are what are desired.
Besides the still–open problem of determining which documents are topically relevant to an
opinion–oriented query, an additional challenge we face in our new setting ... Show more content on
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Data Collection: In this phase, it is important to get the item of interest, that is, what we actually
want to know the opinion about. It is also very important to remove all facts that don't express any
opinions like news and objective phrases. Here the main focus is on the user's relevant opinions. ii.
Pre–processing: The pre–processing is also very important phase in order to remove stop words or
irrelevant words from the user's opinions. Our processing system deals only the description part of
each review, here processing means splitting review into sentences to create a plain text file of
reviews. iii. Classification and part of Speech Tagging (POS): The polarity(+ve or –ve) of the
content that must be identified. Normally, the polarities are positive, negative or neutral. POS is a
mechanism by which tokens are sequentially labeled with syntactic labels, such as "Verb" or "Noun"
or "Adjective". Not all the words in review sentences are sensibly useful for recognize product
features and orientations of the discussed product. As Hu and Liu recommend, nouns and noun
phrases in the sentences are most likely to be the features that customers comment on, while
adjectives are frequently used to express their opinions and

Prediction Of Product Sales Based On Online Customer...
Prediction of product sales based on online customer reviews using sentiment analysis
Priyanka Sharma and Bijith Marakarkandy
Department of information Technology, Thakur College of Engineering and Technology, Mumbai
Abstract
Purpose – Due to their high popularity, Weblogs and other social media sites provide a wealth of
information that can be very helpful in evaluating the customers' sentiments and opinions. It is
therefore imperative to analyze them and filter out useful information that could be of economic
values to vendors and other interested parties. The purpose of this paper is to examine and analyze
online customer reviews about the products and thereby predicting the sales of the products.
Design/methodology/approach – This paper employs a sentiment analysis approach by extracting
online customer reviews from twitter using twitter API. The extracted reviews have been classified
as negative, positive and neutral based on their sentiment polarity and a conceptual model is
developed to analyse the customers purchase intentions.
Findings – The online customer reviews, both positive and negative, can affect the customers'
opinion about the product. Purchase intentions of the customer after reading the product reviews
depends on the factors like customer's attitude towards the brand and consumer–based brand equity.
While consumer–based brand equity and customer's attitude are directly affected by customer's
persuasiveness for online reviews and prior

Sentiment Analysis : The Language Processing
Sentiment Analysis Social opinion has been analysed using sentiment analysis (SA). This is
basically a natural language processing (NLP) application that uses computational linguistics and
text mining to identify text sentiments as positive, negative and neutral. This technique is known as
emotional polarity analysis which is related to text mining field, opinion mining and review mining.
In addition, to calculate sentiment score, the sentiment acquired from the text is compared to a
dictionary in order to determine the strength of that sentiment. Studies on sentiment analysis focus
on text written in English such as sentiment lexicons while applying this to other languages will
cause domain adaptation problem [12]. Traditional text classification is different from sentiment
classification. Traditional text classification refers to pre–defined class to determine a document's
category, and it gauges the theme of the text itself, while the main aim of the latter is to determine
the attitudes and opinion through mining and analysing user interest or other subjective information
[13]. Studies in sentiment analysis have found that pre–processing the data is the procedure of
cleaning and adapting. Data mining discovery is applied to identify patterns in data. Likewise, text
mining looks for patterns in text. Text mining can work and analyse the unstructured data such as
PDF files, emails and XML files [14]. Many researchers have argued that the use of classifiers in
tweets,

Evaluating A Customer Reviews Of Products Sold Online
Bing and Liu discuss ways to enhance customer satisfaction in this paper by studying customer
reviews of products sold online. The paper also describes the problem of generating feature based
summaries based on these reviews. According to the paper, a customer review of a particular
product is composed of three parts, namely:
Different features of the products that the customers have expressed their opinion,
Identifying positive and negative opinions based on their reviews and finally
Composing a summary based on information obtained.
The main advantage of using feature based summary is that it enables customers for explicit reviews
on a particular product. This also enables merchants to study the growth of their products ... Show
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The system crawls all the information (customer reviews) from the particular product and starts to
extract the feature words. The mining classification is divided into three subtasks. First, POS
tagging, most product feature in reviews contain nouns and phrases. POS enables to identify these
tags words by word. The authors have used NLProcessor linguistic parser to split the sentences and
produce POS tag for every individual word. Some pre–processing is performed to remove stop
words to avoid big POS tag lists. Fuzzy matching was also used to deal with misspelling and word
variants. Second, identifying frequent features, features that are particularly used by customers in
many reviews. To put in context, words, or sentences that occur together in many reviews. The
authors use association mining to list out these words. An apriori algorithm based association miner
is used to identify these features/words. The gathered features cannot possibly be genuine product
features. Pruning enables to remove the unwanted features/words that don't match to product
opinion or feature. The author uses two pruning methods and compares their efficiency. While using
compactness pruning, it looks for features that is composed of two or more words and identifies if
they make

The Sentiment Analysis Review
Abstract– Sentiment analysis is the computational study of opinions, sentiments, subjectivity,
evaluations, attitudes, views and emotions expressed in text. Sentiment analysis is mainly used to
classify the reviews as positive or negative or neutral with respect to a query term. This is useful for
consumers who want to analyse the sentiment of products before purchase, or viewers who want to
know the public sentiment about a new released movie. Here I present the results of machine
learning algorithms for classifying the sentiment of movie reviews which uses a chi–squared feature
selection mechanism for training. I show that machine learning algorithms such as Naive Bayes and
Maximum Entropy can achieve competitive accuracy when trained using features and the publicly
available dataset. It analyse accuracy, precision and recall of machine learning classification
mechanisms with chi–squared feature selection technique and plot the relationship between number
of ... Show more content on Helpwriting.net ...
Feature Selection
The next step in the sentiment analysis is to extract and select text features. Here feature selection
technique treat the documents as group of words (Bag of Words (BOWs)) which ignores the position
of the word in the document.Here feature selection method used is Chi–square (x2).
A chi–square test also referred to as a statistical hypothesis test in which the sampling distribution of
the test statistic is a chi–square distribution when the null hypothesis is true. The chi–square test is
used to determine whether there is a significant difference between the expected frequencies and the
observed frequencies in one or more categories.
Assume n be the total number of documents in the collection, pi(w) be the conditional probability of
class i for documents which contain w, Pi be the global fraction of documents containing the class i,
and F(w) be the global fraction of documents which contain the word w. Then, the x2–statistic of the
word between word w and class i is defined[1]

Sentiment Analysis And Stock Market Prediction
This chapter discusses about the important work and procedures related to sentiment analysis and
stock market prediction done previously. These researches and publications are related to my
speculations and will further motivate with the end–goal.
The approach used in this thesis is inspired by Bollen et al's strategy [12], with a step taken forward
to implement PageRank algorithm to increase the accuracy of results and use of different sentiment
analysis techniques than the techniques used by him. In 2010, Bollen used Twitter data for finding
the predictability of Twitter sentiments on stock market with high accuracy. He proposed a method
for prediction of the changes in the stock market price based on the mood of people on Twitter. ...
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The second phase includes polarity classification in which corpus is classified into positive,
negative, both or neutral using 10 different features and 2 simple classifiers. Neutral–polar
classification and polarity classification achieved an average accuracy of 75.9% and 65.7%.
Besides understanding the effects of twitter data and sentiment analysis, a large group of researchers
is attracted towards various types of predictions and their applications in various fields. Andrei
Oghina [28] predicted Internet Movie Database (IMDB) ratings by information retrieval from social
media. They hypothesized that the correlation can be found between the IMDB ratings and social
media signals related to movie artifacts (e.g. movie title) . In 2010, Andranik et. al. [29 ] analyzed
tweets which mentioned political parties and politician during German election 2009 and found that
large number of tweets reflects voter preferences. Also, there are researches speculating the fact that
Twitter can be used in areas like real–time event detection like earthquakes [30], tracking the spread
of diseases [31].
There is also prior work in finding the correlations between social media and stock market. In 2010,
Gilbert and Karahalios [32] estimated anxiety and fear from a dataset of over 20 million posts from
LiveJournal site. They calculated an index of US national mood known as the Anxiety Index.
Results of this experiment showed that when the Anxiety Index rose, the S&P 500 market ended

Question 1: Men have always been the ones deemed with upmost power over everything in life
including law and land. Power is having the ability to influence or control the behavior of people.
The relations of man and woman around the time of "The Discord" article were man had complete
control especially in marriage. "He has compelled her to submit to laws...withheld from her
rights...made her civilly dead...an irresponsible being". These withdrawals from the text show the
relationship between man and wife and how man also has control even over single women. Men
controlled the laws these women lived by and kept them from advancing as men were allowed to
advance such as in institutions and law making. The Declaration of Sentiments reveled the nature of
gender relationships in nineteenth ... Show more content on Helpwriting.net ...
Not only will you ruin your life but you'll also be abused emotionally and mentally because most
men who use ardent spirits see women as wretched. Alcohol in this article is sought after men being
the sole users and on no account does it talk about women having the choice to consume with their
husbands. This article showed you should never get with a man if he abuses drinking or even drinks
at all not because of the alcohol itself but because of what the man does on the alcohol. "The
Progress of Intemperance" also leads with alcohol being a corruption of life, love and wellness.
Plate One shows the invitation to drink pulling the fact that men were the ones getting together and
drinking the alcohol. Plate two shows that because the man decided to go out and rink for a night he
is now unable to care for his family. The wife is shown catering to the youngest child and the man is
just sitting there with his "illness". Which leads to the alcohol consumption now affecting his 19th
century life just because of his interaction with the alcohol from one time

Historical Process
Jimmy castro Unit: The Historical Process This Unit Activity will help you meet these educational
goals: Inquiry Skills–You will apply disciplinary concepts and tools; analyze societal issues, trends,
and events; develop credible explanations of historical events and developments based on reasoned
interpretation of evidence; gather, evaluate, and use evidence; and communicate your conclusions.
21st Century Skills–You will employ online tools for research and analysis, use critical–thinking
and problem–solving skills, communicate effectively, and assess and validate information.
Introduction For any historian, it is important to find useful resources and analyze relevant
information from those sources. This activity will help you ... Show more content on
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The one thing that the primary scources have in comman is for the country to come together as one
nation and stand up for their freedom and not watch their pride and freedom drift away from their
lives. ________________________________________________________________________
Resources Writing Resources Research and writing information Creating a thesis statement
Examining and evaluating sources Methods for writing a high–quality paper The author–date system
Content

Unit 3 Assignment 1 Opinion Mining
Social media has emerged as the most powerful form of communication these days. The ability to
voice an opinion from anywhere over anything has coined and popularized the term 'Global Citizen.
Many social platforms available these days provide the avenues for the companies and organization
to make a brand for themselves by directly engaging with their customers. If you don't like some
brand you bought or a movie you just watched, login on Twitter or Facebook and tell the world.
These platforms provide an access into what is currently trending or making the stir at the moment.
Thus, there is a huge repository of opinionated data that if harnessed strategically can help to solve
problems ranging from what product to invest into complex business ... Show more content on
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After extracting the features, a summarized opinion is concreted based on those features.
1.3 Techniques for Opinion Mining
Opinion mining (also known as sentiment analysis) focuses mainly on two things, first identifying
whether the text is subjective or objective and then determining the polarity of the subject [3].
Opinion words in the text mostly contribute towards the subjectivity of the text. These opinion
words together inform about the emotional context of the text. Objective words contribute towards
the factual construct of the text. There are three most common approaches used for determining the
sentimental content of a text
¬ Lexical Analysis
This is basically a dictionary approach. The text under analysis is converted into tokens. Each token
is then matched with the dictionary. If the match is positive, it increments the total score of the text
so far, else there is a decrement in the text score if there is a negative match. For example, the word
'beautiful' will increment the total score since it is a positive match. It is a basic but very efficient
technique. One major drawback of this approach is that its accuracy and efficiency degrades
drastically with the growth of the size of the dictionary

"We hold these truths to be self–evident, that all men are created equal, that they are endowed by
their creator with certain unalienable rights, that among these are life, liberty and the pursuit of
happiness"(US Declaration of Independence). Equality is a fundamental principle that has helped
form our law system to what it is today. Since the Declaration of Independence we have been able to
expand who should be included when our law system addresses equality. Today law, regarding
gender equality has progressed significantly. Examining American history, it is evident to notice
oppression women's faced from the time prior to the Declaration of Sentiments in 1848 to the Civil
Rights act of 1964 and even today in some instances; the strive for equality amongst genders is a
conflict that has come a long way, but still needs to be addressed accordingly. Reading the
Declaration of Sentiments, there is an understanding of the oppressions women's faced during the
1800's. In the Declaration of Sentiments the Elizabeth Cady Stanton ... Show more content on
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As a teacher of theology, medicine, or law, she is not known"(1). The sentiments staton disputes are
reasonable as they violate the unalienable rights stated in the Declaration of Independence. These
among other sentiments are important to mention as they remind us how far law, regarding women's
rights, has changed since

Toms Shoes
Theme Chart Analysis
Using the Grounds Theory approach our group determined and analyzed the common themes on
social media surrounding the Toms Shoes brand. We created a Theme chart and a sub–theme chart
from the largest theme. These charts can be seen below. The top three themes were 1) Social Justice,
which was mainly comprised of soundbites focused on the Toms One For One motto and their
positive impact on those less fortunate 2) Style, which was largely focused on the look of the shoes
and 3) what we named Purchase/ want, this category was comprised of soundbites in which people
were talking about a purchase they had just made or stating that they really wanted to purchase a
certain pair, more pairs or every pair of Toms. We have ... Show more content on Helpwriting.net ...
Then we set the custom date range from April 10th, 2012 to June 15th, 2012. There were 621
mentions. People mentioned One Day Without Shoes mostly on the event date and then it began to
decrease and stopped within a week. There were 88% positive and 12% negative comments. Some
people thought it was nasty and gross to go without shoes in crowded or public areas, but the
majority thought that it supported a good cause and were willing as well as excited to join the
campaign. Many people shared their good experience of being barefoot on that day, which is what
we expected. However, similar to the analysis of the pre event date, the number of mentions quite
still pretty small. Most of the stream came from twitter.
We recommend Toms improve their campaign. Not entirely change the campaign but make a minor
change in order to make it more exciting and so that it is not exactly the same every year. We think
that this will help boost participation and therefore awareness of the brands mission. One way Toms
could accomplish this is by arranging a video competition, which would ask people to make their
own video doing their daily activities barefoot. They would then be asked to post the videos on
Toms Facebook. Whomevers video got the most 'likes' would win a reward or prize. Perhaps even a
trip to one of the countries where Toms gives there shoes away so that the dedicated customer could
help deliver the shoes and experience first–hand how impactful

Like any major changes that happen within a society, there are usually people who have fought long
and hard, or perhaps, have held powerful positions which enabled them to facilitate change. There
were many women in history who were brave enough to speak against their religion and offer new
teachings, women who were bold enough to bear arms, women in power who used their voice to
speak against sexisism, and a woman who understood what it meant to live in two cultures and
plainly prefer one over the other. Anne Hutchinson was a puritan living in the mid 1600s and left
England to lead a new life in America (Kendall 14). She thought she would have more freedom in
America, but she soon discovered that religious freedom did not exist. Although ... Show more
content on Helpwriting.net ...
Anthony and Elizabeth Cady Stanton met at a temperance meeting and were both appalled at the
fact that they were not allowed to speak (Rossi 11). Stanton convinced Anthony to join her in the
women's rights movement. Stanton needed someone to deliver her speeches because she was
encouraged to spend more time at home with her family. "Stanton had a large family so she had little
time to travel and lecture," (Kendall 41). Stanton wanted to share her own ideas with other people,
but her father and husband didn't approve of her sharing any speeches or writings in public. This
was similar to a situation the Grimke Sisters were in when people didn't appreciate and approve of
the fact that they were speaking their ideas out in the public (Deverell and White). Anthony Anthony
had lots of spare time because she didn't have a family, therefore, she could dedicate her spare time
to helping the cause. Anthony and Stanton started a partnership together and ended up working with
one another for about fifty years (Rossi 11). After helping with Stanton's public speeches, the two
women continued working together to bring awareness to women's rights. Stanton and Anthony
wrote an article together on divorces and how they hated males. This was especially a big shocker to
people back in the 1800s (Rossi 15). Together, Stanton and Anthony started the NWSA, or the
National Woman Suffrage Association which, "worked for a Constitutional amendment to give
women the right to vote in national

Movie Review : ' Movie '
SENTIMENTAL ANALYSIS OF MOVIE REVIEWS Final Year Project Report Submitted by
VARUN BHAU WALA (A003) CHIRAG BEND ALE (A007) DHRUV MEHTA (A063) Under the
guidance of Prof. ANSHUL GUPTA in partial fulfillment for the award of the degree of B.Tech
INFORMATION TECHNOLOGY At Department of Information Technology Mukesh Patel School
of Technology Management and Engineering NMIMS (Deemed –to–be university) JVPD Scheme
Bhaktivedanta Swami Marg, Vile Parle (W), Mumbai–400 056 APRIL, 2015 2 CERTIFICATE This
is to certify that the project entitled "SENTIMENTAL ANALYSIS OF MOVIE REVIEWS" is the
bonafide work carried out by VARUN BHAUWALA, CHIRAG BENDALE, DHRUV MEHTA of
B.Tech (IT), MPSTME, Mumbai, during the VIII Semester of the academic year 2014–2015, in
partial fulfillment of the requirements for the award of the degree of Bachelors of Technology as per
norms prescribed by NMIMS. The project work has been assessed and found to be satisfactory.
(Signature of Internal Mentor) (Signature of External Examiner) Name:Prof.Anshul gupta Name:
Designation: Assistant Professor Designation: HOD (IT) Dean (Prof. Vijay Raisinghani) (Dr. Sharad
Y. Mhaiskar) 3 DECLARATION We, VARUN BHAUWALA, CHIRAG BENDALE, DHRUV
MEHTA, roll numbers: A003, A007, A063 respectively, understand that plagiarism is defined as any
one or the combination of the following: 1. Uncredited verbatim copying of individual sentences,
paragraphs or illustrations (such as graphs, diagrams, etc.) from any source, published or

The Declaration Of Sentiments And Resolutions
Feminism in the United States:
The Declaration of Sentiments
Kyron Brown
History 2010 – W9
Professor Pennig
November 26, 2014 Introduction
In the year 1848, Elizabeth Cady Stanton conveyed to the audience of the Seneca Falls Convention
the Declaration of Sentiments and Resolutions . The Declaration of Sentiments was written with the
purpose of demanding civil freedom for women and of righting the wrongs of society. The
Declaration included events where women's rights were being oppressed and violated and where
laws were giving special treatment to men. It also included the resolutions they demanded on these
particular cases.
In addition, the Declaration was written due to the fact that women in all parts of the globe were
being oppressed for many years. The women in many countries, just like in the United States of
America, were given a limited set of rights in the society compared to their male counterparts. One
great example of this was the women's suffrage in the United States, which was not inherently given
to them until its national enactment in the year 1920.
Analysis
The document was specifically written for women and the events that revolved around their poor
conditions in the past. It was also evident that one of its objectives was to promote and endorse
feminism. This was due to the fact that women in America were being oppressed up until the mid–
20th century. As Martha C. Wright indicated, the American women at the time, specifically the
wives,

Location Based Sentiment Analysis Of Twitter Data: A...
Location based sentiment analysis of Twitter data: A Literature Review I.Karthika1,
S.Priyadharshini2 1Assistant Professor, Department of Computer Science and Engineering,
M.Kumarasamy College of Engineering, Karur. 2PG scholar, Department of Computer Science and
Engineering, M.Kumarasamy college of Engineering, Karur.
2priyadharshinisivasamy93@gmail.com Abstract Big data is a concept used for collecting, storing,
and analyzing large volume of data and provides decision making and also support optimization
processes. Social media plays an important role in taking decisions about any products based on the
reviews provided by the user. It accurately tells about the exact opinion of the user regarding the
product. Twitter is one ... Show more content on Helpwriting.net ...
The next phase is the data preprocessing which involves the filtering of the tweets with proper
grammatical relation. Sentiment score phase involves the scoring process. Once analysis process is
completed, the comparisons are made based on location, feature and gender. II LITERATURE
REVIEW Syed akib anwar et al. [1] proposed that Public sentiments are the main things to be
noticed for collecting the feedback of the product. It can be done by using sentiment analysis. The
twitter is the social media used in this paper for collecting the reviews about any product. The
reviews collected are analyzed based on the locations, features and gender. There are four steps
involved in the paper: Data extraction which involves collecting the twitter data, data processing
involves filtering out the redundant tweets and non grammatical relations, implementation involving
the product analysis using sentiment score and result involves comparison between gender, feature
and locations. Xing Fang et al. [2] discusses that Sentiment analysis is a technique used for
categorization of the product based on the reviews of the user. The categories of the product are
good, bad or neutral. In this paper, the general problem of the sentiment polarity categorization has
been resolved. The sentiment polarity categorization consists of two phases: sentence level
categorization and review level categorization. The sentence

A Representation Of Opinion Is Given Below
A diagrammatic representation of opinion is given below. Fig.1 Opinion mining basic flow
Opinion mining has three basic terminologies on which it can be processed. These are,
a. Object: that is the entity or commodity regarding which opinion has to be given.
b. Opinion holder: the one who gives the opinion, also known as the author.
c. Opinion: the particular statement or the corresponding opinion which is expressed by the opinion
holder or the author.
Opinion mathematically can be expressed as follows:
Opinion is a quintuple(Oj, fjk, hi, tl, SOijkl) where,
Oj¬ is the object which is to be opinionated.
F¬jk¬ is the kth feature of jth object which is opinionated. h¬i¬ is the ith opinion holder.
SO¬ijkl¬ is the sentiment for the jth object's kth feature, by ith opinion holder, at time l. tl is the
time at which the opinion is created.
Example: a certain person has to comment on a book. Then in this case the person is the opinion
holder, the book the object and "this is a good book" is the opinion.
II. BASICS OF OPINIONS AND SENTIMENT ANALYSIS
Opinions can be of varied types consisting of direct simple sentences as well as compound
sentences. These sentences can include views upfront or via comparisons. Example
"Audi A6 is better than Maruti Suzuki Alto". Here two entities are compared. Also there are
reviewers who like to talk in sarcasm and hence make it extremely complicated to analyze the
hidden or the true meaning of

Research Report On The Boston Police Department
7. Ongoing Research Work Introduction The second part of the research is focused on studying the
emotions and sentiments expressed by people who retweeted the Boston Police Department (BPD)
tweets. The goal of this phase was to observe the sentiment among the users who were retweeting
the BPD tweets. We wanted to observe the impact of BPD tweets on the users before they retweeted
the BPD tweet and after they retweeted. By doing this we wanted to capture the shift in sentiment
among the users, which would give us the impact of BPD tweet. In order to do the above analysis,
the tweets of those users who had retweeted the BPD tweet were collected. Topsy API was used to
collect the historical tweets for the time duration (April 15th 2013 19:50 ... Show more content on
Helpwriting.net ...
The next step was to observe the sentiment among the users, before and after they had retweeted.
We aggregated the 'before' set for all users corresponding to a particular tweet and generated a set of
145 files. Similarly we generated a set of 145 files for 'After' set as well. Then we used LIWC to
generate the sentiment score for files corresponding to each BPD tweet. Thus for each of the 145
BPD Tweet, we generated sentiment score of 'before' and 'after', and so we have 290 rows of data as
an output by LIWC. When we request Topsy for 200 retweeters of a particular BPD Tweet, we got a
random sample of 200 retweeters. For some of these users, the retweets were outside our time
interval of consideration. Therefore the number of users considered is not the same across all BPD
tweets, it is always a number less than 200. Therefore we added 2 new columns for analysis, the
number of users considered and the total number of tweets considered. Later we divided the BPD
tweets into two segments 1. Incident related (The tweets by BPD which spoke about the incident
and things related to it) 2. Informational (The tweets by BPD which were sent out to public about
the road being blocked or about parking related etc.). The reason for dividing into 2 segments was to
further observe the difference of impact on users by these tweets, with the help of sentiment scores
generated

Survey On Sentiment Analysis And Opinion Mining
A Survey on Sentiment Analysis and Opinion Mining Abstract– This survey reviews the recent
progress in the field of sentiment analysis with the focus on available datasets and sentiment
analysis techniques. Since many exhaustive surveys on sentiment analysis of text input are
available, this survey briefly summarizes text analysis techniques and focuses on the analysis of
audio, video and multimodal input. This survey also describes different available datasets. In most
of the work datasets are prepared as per specific research requirements. This survey also discusses
methods used to prepare such datasets. This survey will be helpful for beginners to obtain an
overview of available datasets, methods to prepare datasets sentiment analysis techniques, and
challenges in this area. Key words– Sentiment Analysis, Opinion Mining, Multimodal Sentiment
Analysis, datasets 1 INTRODUCTION Opinions always play an important role in decision making.
Businesses seek consumer opinions about their products and services to improvise them, consumers
seek opinions of other consumers to get the best deal. Governors and policy makers of the country
also need to consider opinions of the masses before making some decisions. Emergence of social
networking sites, blogs, forums, e–commerce websites have provided internet users with a platform
where they can express their opinions. Thus a huge source of opinions, views, and sentiments has
been created and is being updated every day. The

Sentiment Analysis : Customer Review Data
Sentiment Analysis of Customer Review Data
Sentiment analysis is the process of identification and extraction of subjective information from
unstructured data. Some of the common applications of sentiment analysis are, understanding the
voice of the customer, voice of the market, the voice of the employee, brand management, financial
markets, politics and government intelligence.
The objective of the sentiment analysis in the case of Suite Spot would be to increase customer
satisfaction based on the sentiment analysis of the customer review data and other available data
about the customer and reservation, available from Kayak. This is where a sentiment analysis can
offer much more value when compared to a traditional analysis on the customer review data. The
key to this is the availability of real–time data about the hotel from customers. In a connected world
where information is continuously flowing in the form of tweets, Facebook, and other social media
posts, getting real–time sentiment analysis data and acting on the data would help create a
competitive advantage for the Suite Spot chain of hotels.
First we have to keep track of all the customers who are currently staying in a Suite Spot hotel. As
soon as the customer checks in, his customer data is collected from Kayak. Kayak keep track of the
social media connections of a customer, like Google+ and Facebook accounts. After retrieving the
social media connections of the customers staying in a Suite Spot hotel,

Ist 601 Product Service System
Name: Manali Shiurkar
IST 601: Information Management
Innovative Thinking Essay: Product Service System
It was amid a midyear break when the inverter at my place required an overhauling which was
expected by organization 's arrangement. In any case, the organization lost a track of its past records
that demonstrated the third due administration. After a great deal of bothers and protests the issue
was settled. Notwithstanding, this occurrence made me end with that organization and joining
another. A large number of companies are unable to keep up the track of their administrations which
causes them a big time loss.
Each business plans to build its deal breaking its past records. Furthermore, the best way to do it is
to draw in new clients as well as to keep up them after deals. An organization that prioritizes its
customers will always be referred. The primary purpose behind the decrease of offers in an
organization is its absence of duty to give appropriate administrations to its clients. An enlisted
grumbling is here and there which is sometimes not attended by the organization which prompts
expanded grievances among the shoppers prompting decrease in the sales. Sometimes the
organization is not ready to keep up the record of the administrations of a client which prompts a
more prominent perplexity in the association. Another issue related to less customer satisfaction is
the inability to solve the problem on time.
One solution to this problem is to

Social Media Mining : Sentiment Analysis
Social Media Mining: Sentiment Analysis Gloria Ngo Daniel Cano Hueros Andrew Gribben Cyril
Jacob April 28, 2016 Table of Contents Table of
Contents..........................................................................................1
Introduction.................................................................................................2 Relating Social Media
Mining to DSS Methodology................................................2
Analysis.....................................................................................................3 Logical
Design.............................................................................................4 Lessons
Learned...........................................................................................8
References................................................................................................10 Introduction Text and
web mining has been around for a long time, and like any other technology, has evolved. Originally
assigned only to text and web mining, Team One began focusing on older ways of text and web
mining ... Show more content on Helpwriting.net ...
With hundreds of millions of people sending countless hours on social media to share,
communicate, connect, interact, and create user–generated data at an unprecedented rate, social
media has become one unique source of big data." The focus of the research problem under Social
Media mining will be the sentimental analysis/political trends because of the sheer amount of data
available on social media sites with people posting about politics. Relating Social Media Mining to
DSS Methodology Relating social media text and web mining to decision support systems could
have a huge impact on how businesses make strategic plans, how social wellness programs conduct
outreach exercises, or even how the news reports political predictions. Tapping into social media via
web and text mining could unlock many doors with regards to the public masses and gauging their
opinions, state of minds, or political standing. Social media has become a way of life for the
millennial generation and has even caught on with generation X and the baby boomer generation
making it ingrained in the daily lives of many Americans. Social media by nature is meant to be a
way for people to express

Tahiti Research Paper
Tahiti – TravelStore Page Build Out
Research: http://www.travelstore.com/explore–your–world/destinations/tahiti
http://www.southpacific.org/guide/tahiti.html http://www.tahiti–tourisme.com/islands/tahiti/tahiti–
transportation.asp Meta Description: An island vacation experience like no other awaits you in the
heart of Polynesian culture: Tahiti.
Meta Key Words: tahiti vacation, tahiti honeymoon, trip to tahiti, tahiti weather, tahiti islands, tahiti
resorts, tahiti hotels, things to do in tahiti, tahiti cruises
SAVOR PARADISE ON REMARKABLE AND REMOTE TAHITI VACATIONS
There is hardly anything more romantic or idyllic than an enchanting Tahiti honeymoon, or just a
romantic getaway relaxing at Tahiti resorts, a cocktail in hand and crystal–clear waters lapping at
your toes. Tahiti is the heart of Polynesia and has to be experienced to be understood. Long
described by Western explorers, authors, artists and other visitors as the quintessential island
paradise, the heart of love, and home to some of the friendliest and most beautiful people in the
world.
Tahiti is the main island within the Society Islands of French Polynesia, which include Raiatea,
Taha'a, Huahine, Moorea and Bora Bora. Each island has its own personality, geography and charm.
Further afield, Rangiroa and the Tuamotu Atolls beckon divers with untouched coral reefs, ... Show
more content on Helpwriting.net ...
During this six–month high season, the temperatures are milder, averaging between eighty–one and
eighty–five degrees Fahrenheit, there are fewer storms, and the humidity decreases. But during this
high season tourism peaks at roughly three times what you'll find the other half of the year when the
sun does shine but may disappear for days at a time. Also during the off–season, the average
temperature increases to around eighty–six degrees and the humidity increases as well. Generally
speaking though, Tahiti enjoys beautiful, mild weather for most of the

Declaration of Sentiments
Declaration of Sentiments
The Declarations of sentiments was arguably the most significant document in
history for the advancement of women in the nineteenth century America. It was made
famous at the first Woman's Rights Convention, held in Seneca Falls, New York, in July
of 1848. Drafted by Elizabeth Cady Stanton, the declaration outlined a series of
grievances resulting from the unfair treatment of women and proposed eleven resolutions
arguing that women had the right to equality in all aspects of their lives, including the
right to vote. Despite the declarations significance, however, it would be seventy–two
years later that women finally won the right to vote.
In early societies, women bore ... Show more content on Helpwriting.net ...
It also
protested unequal employment opportunities. Stanton read the declaration paragraph by
paragraph, and over the two–days of discussion, the Declaration of Sentiments and 12
resolutions received agreement endorsement, one by one, with a few amendments.
The only resolution that did not pass unanimously was the call for women's
authorization.
The Seneca Falls convention generated widespread ridicule and even hostility,
primarily from religious leaders and the press. An article in the Philadelphia Public

Ledger and Daily Transcript (September 1848) opined that, unlike the Seneca Falls
women, the women of Philadelphia were "celebrated for discretion, modesty, and
unfeigned diffidence" rather than "standing out for woman's rights." After all, the writer
reasoned, "A woman is nobody. A wife is everything. A pretty girl is equal to ten
thousand men, and a mother is, next to God, all powerful......The ladies of Philadelphia,
3 Metz
therefore.....are resolved to maintain their rights as wives, belles, virgins, and mothers,
and not as women" (Stanton, Anthony, and Gage, p. 804).
Women's rights conventions were held on a regular basis until the start of the
Civil War. Elizabeth Cady Stanton traveled the country lecturing and organizing for

Sentiment Analysis Assignment
Hi Girish, Personally I do like the idea of linking such natural phenomenon to emotions. It would be
great if you can share more about the project – you can come to one of project TAs' OH once we
reach week 3. The following notes is some open–ended questions/thinkings based on your post.
Please feel free to follow up. 1.causality v.s. correlation: The Aristotle explanation gives us a direct
casual relation between celestial bodies and emotions. I'm sure you does not buy this much. But it
could be a good question to ask: Whether the celestial events affect our emotions by changing the
dynamics of our body, by some social–economic events (e.g. An EMP that interrupts the production)
or by the myths or beliefs only. As you use the word correlation ... Show more content on
Helpwriting.net ...
We have two data set: one is the celestial events and the other is some emotion index/crime index.
The final step of calculating correlation probably won't takes much (well, actually it could be really
serious if you are taking an econometrist's perspective). So I guess you will apply a lot of machine
learning skills for the sentiment analysis? I wonder if it is that necessary since a lot of works have
been done on this. You can check out this, a toolkit from Healey & Ramaswamy :
https://www.csc.ncsu.edu/faculty/healey/tweet_viz/ Also, the violences, homicides, suicides reported
sounds like a more reliable data source for this problem (see the next note). I would suggest talking
with a TA to clarify the scope of this project is appropriate. 3.Google Trend Before starting the data
preparation, I would suggest using Google Trend to try out some patterns first. For example,
homicides in news: https://www.google.com/trends/explore?gprop=news&q=homicides. 4.Scale of
correlation If finally you find out there is such correlation, I would suggest some quantitive
compaision between daily fluctuation of people's emotion to see how large these disturbances are
(so we can decide if we really need the emergency

Research Paper On Sentiment Analysis
Abstract
Due to the large volume of opinion rich web resources like twitter, Face book, blogs and news
available in digital form, much of the current research is focusing on the area of sentiment analysis
using text analysis. People are getting attracted to develop a system that can extract opinions based
on their response on social media sites. Algorithms can be developed so as to predict preferences of
people to improve economic and marketing research. This paper presents a sentiment analysis on a
recent scenario of Uri Attack.
Index Terms– Rich Web Resources, Text Analysis, Uri Attack
Introduction
Sentiment analysis is a technique for tracking the mood or sentiment of the public for a particular
product or incident. Sentiment analysis is also called as opinion mining and it involves in making of
a machine that ... Show more content on Helpwriting.net ...
Sentiment analysis concentrates on attitudes, whereas the traditional method of text mining mainly
focuses on the analysis of facts. There are few main fields of research in Sentiment analysis:
sentiment classification, feature based sentiment classification and opinion summarization.
Sentiment classification deals with classifying entire document according to the opinions shown
with respect to a certain object. While feature–based sentiment classification considers the opinions
on the features of a certain object. Opinion summarization task is different compared to traditional
text summarization because only the features of the product are examined on which the customers
have expressed their opinions via any social media. Opinion summarization does not summarize the
reviews by selecting a subset or rewriting some of the original sentences from the reviews to capture
the main points like in the classic text summarization

Declaration Of Sentiments Rhetorical Analysis
The opening paragraph of Elizabeth Cady Stanton's Declaration of Sentiments, which narrates,
"When in the Course of human events, it becomes necessary...," (Stanton 1), along with the title
itself reveals a connection to Thomas Jefferson's Declaration of Independence. Elizabeth Cady
Stanton wrote the declaration after being excluded from the World Anti–Slavery convention, much
like how the colonists were excluded from British Parliament. Declaration of Sentiments lists the
grievances of women, which is another similarly to Jefferson's Declaration of Independence where
he lists the grievances of the colonists. Stanton introduced her Declaration of Sentiments at the
Seneca Falls Convention, which further conveys similarity to Jefferson's Declaration of
Independence as his Declaration of Independence was introduced at the Second Continental
Congress. Stanton, modeling her Declaration of Sentiments after Jefferson's Declaration of
Independence, uses anaphora, the rhetorical triangle, allusions, personification, and harsh diction to
achieve her effect of inspiring change to the benefit of women in society, similar to how Thomas
Jefferson inspired change in the colonies through his Declaration of Independence. In order to
emphasize and organize her points about the grievances of women in Declaration of Sentiments,
Stanton uses anaphora in like manner to the way Jefferson uses it in Declaration of Independence. In
most of Stanton's paragraphs between lines 28 and 70 of her

A Machine Learning Approach For Emotions Classification
A machine learning approach for emotions classification in Micro blogs ABSTRACT Micro
blogging today has become a very popular communication tool among Internet users. Millions of
users share opinions on different aspects of life every day. Therefore micro blogging web–sites are
rich sources of data for opinion mining and sentiment analysis. Because micro blogging has
appeared relatively recently, there are a few research works that are devoted to this topic.In this
paper, we are focusing on using Twitter, which is an amazing microblogging tool and an
extraordinary communication medium for text and social web analyses.We will try to classify the
emotions in to 6 basic discrete emotional categories such as anger, disgust, fear, joy, sadness and
surprise. Keywords : Emotion Analysis; Sentiment Analysis; Opinion Mining; Text Classification 1.
INTRODUCTION Sentiment analysis or opinion mining is the computational study of opinions,
sentiments and emotions expressed in text. Sentiment analysis refers to the general method to
extract subjectivity and polarity from text.It uses a machine learning approach or a lexicon based
approach to analyse human sentiments about a topic..The challenge for sentimental analysis lies in
identifying human emotions expressed in these text. The classification of sentiment analysis goes as
follows: Machine Learning is the field of study that gives computer the ability to learn without being
explicitly programmed. Machine learning explores the

I have recently acquired and read The Declaration of Sentiments, and I found the interest of telling
you the three grievances I found most important and least important about the declaration. I will
start by listing the three most important grievances, followed by listing the three least important
grievances of the document. The first of the most important grievances is, "He has withheld from
her rights which are given to the most ignorant and degraded men––both natives and foreigners"
(Stanton, 70–71). I found this grievance most important because men allowed people with little to
no education the rights that intelligent and diligent women were not allowed. This restraint showed
that women were not worth as much as men and I personally do

Monolingual Word Alignment Model For Retrieving
MONOLINGUAL WORD ALIGNMENT MODEL FOR RETRIEVING
OPINION WORDS AND OPINION TARGETS IN AN SIMPLE WAY
R.Vikram, Asst. Professor in CSE, GNITC, Hyderabad, A.P., India, captureratan@gmail.com
K.Vikram, Asst. Professor in CSE, GNITC, Hyderabad, A.P., India, vikramkalvala84@gmail.com
Patil ManikRao, Asst. Professor in CSE, GNITC, Hyderabad, A.P., India, manikvpatil@gmail.com
Abstract:
In a global economy, mining the opinion relations between opinion targets and opinion words was
the key to collective extraction. To this end, the most adopted techniques have been nearest–
neighbor rules and syntactic patterns. To improve the performance of these methods, we can
specially design exquisite, high–precision patterns. However, with an increase in corpus size, this
strategy is likely to miss more items and has lower recall. In this paper proposes a novel approach
based on the partially–supervised alignment model, which regards identifying opinion relations as
an alignment process. Compared to the traditional unsupervised alignment model, the proposed
model obtains better precision because of the usage of partial supervision. Compared to syntax–
based methods, our word alignment model effectively alleviates the negative effects of parsing
errors when dealing with informal online texts. The objective is to propose a method based on a
monolingual Word alignment model (WAM). An opinion target can find its corresponding modifier
through word alignment. In addition, the WAM can integrate

Declaration Of Sentiment Analysis

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