...with a set of attributes of the component. OPINION An opinion is a quintuple (o, f, so, h, t), where o is a target object. f is a feature of the object o. so is the sentiment value of the opinion of the opinion holder h on feature f of object o at time t. h is an opinion holder. t is the time when the opinion is expressed OPINION MINING AND SENTIMENT ANALYSIS Given a set of evaluative text documents D that contain opinions (or sentiments) about an object, opinion mining aims to extract attributes and components of the object that have been commented on in each document d ∈ D and to determine whether the comments are positive, negative or neutral. Sentiment analysis is a synonymous term. TRY THESE!! “If you are reading this because it is your darling fragrance, please wear it at home exclusively, and tape the windows shut.” “Jane Austen‟s books madden me so that I can‟t conceal my frenzy from the reader. Every time I read „Pride and Prejudice‟ I want to dig her up and beat her over the skull with her own shin-bone.” - Mark Twain SOME CONCEPTS Sentiment polarity and degrees of positivity The binary classification task of labeling an opinionated document as expressing either an overall positive or an overall negative opinion Joint topic-sentiment analysis Term presence vs. frequency Presence is more important than frequency SOME CONCEPTS Parts of speech Adjectives, adverbs, nouns, verbs Negation “I like this book” and “I...
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...first Women’s Rights Convention. With that simple preparation, on the morning of July 19, the roads to the church were jammed with carriages and carts. A crowd was milling around outside when Stanton arrived to find the church inadvertently locked and the key missing. The first day of the meeting was to be for women only, but Stanton and the others did not know how to ask the men who were present to leave. The convention had strong support from some men. In fact, the women asked a man to preside at the convention. For Stanton, then thirty-two, it was only her second public appearance. In the convention’s first order of business, she read the declaration of Sentiments. The document detailed the ways in which women were denied property rights, rights in marriage and divorce, and the vote. The Declaration of Sentiments was...
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...Stanton critiques or revises the Declaration of Independence and in return Davis critiques Stanton’s work, the Declaration of Sentiments. Although there are many critiques it’s important that all of these documents exist because they have all...
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...DATA PREMIER LEAGUE Case 2: ALS IceBucketChallenge Objective: Sentiment analysis of twitter tweets and facebook posts during the Ice Bucket Challenge ALS Ice bucket challenge is an activity which involves dumping of ice water on one’s head to promote awareness of the disease ALS as an alternative for donation. It went on viral during July and august 2014. Challenge encourages nomination of other kith and kin’s to do the same within 24 hrs. Methodology: Data Preprocessing: From the given data all redundancies were cleaned up. By using vector source in Corpus, we cleared punctuation marks, numbers, converting all the words into a single case (as it is casesensitive), removing stop words which do not make sense in the sentence, stripping out whitespace and http links were removed. Clearing all this unnecessary data, we get the content which makes actual sentiment overall in each post/tweet. Data Analysis: The overall sentimental score was developed using an algorithm which contains 7 liker scale using R tool by considering the standard Positive and negative words. Categorical analysis was performed using excel based API developed on the NLP algorithm used by Semantria to get individual categorical analysis as to how the emotions and trend was The statements were split into words and un-listed the results in a list of words. Matched these un-listed words to the Positive master list and this returns the indices of all the matched words. The attempt made here is...
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...important research topic, attracting significant attention over the last few years. In this work, to measure the strength and polarity of an opinion, we consider the economic context in which the opinion is evaluated, instead of using human annotators or linguistic resources. We rely on the fact that text in on-line systems influences the behavior of humans and this effect can be observed using some easy-to-measure economic variables, such as revenues or product prices. By reversing the logic, we infer the semantic orientation and strength of an opinion by tracing the changes in the associated economic variable. In effect, we use econometrics to identify the “economic value of text” and assign a “dollar value” to each opinion phrase, measuring sentiment effectively and without the need for manual labeling. We argue that by interpreting opinions using econometrics, we have the first objective, quantifiable, and contextsensitive evaluation of opinions. We make the discussion concrete by presenting results on the reputation system of Amazon.com. We show that user feedback affects the pricing power of merchants and by measuring their pricing power we can infer the polarity and strength of the underlying feedback postings. on Amazom.com post reviews about products they bought and users on eBay.com post feedback describing their experiences with sellers. The goal of opinion mining systems is to identify such pieces of the text that express opinions (Breck et al., 2007; K¨ nig and o Brill, 2006)...
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...monitoring people’s perceptions - positive and negative sentiments - of their brands through social media. Ever since the advent of machine-readable text, IT users have been demanding a way to get knowledge and insight out of text documents without humans reading the documents. Getting feedback from various stakeholders will amount to bothering them with surveys on every aspect that a company is interested in. The problems with this approach is that for each product or feature, a survey will have to be conducted; the format, distribution and timing of the survey will have to be designed and will have to rely on the goodwill of people to take the survey. This method can be made obsolete by gathering such information automatically from the Web, where the large amount of available data creates the opportunity to do so. While smaller businesses might be able to track these conversations manually with tools like Google Alerts, many find themselves inundated with more tweets, updates and reviews across multiple social channels than they can keep up with. For online marketers facing large volumes of opinions, but looking to sift through the data and learn from client feedback, sentiment analysis solutions serves as an excellent solution. L&T Infotech’s social analytics too can not only do sentiment analysis but much more. It can give geographic & demographic analysis, Idea mining, buzz analytics, spam analysis, twit monitoring, voice of customer and many...
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...TWITTER ANALYSIS (IN RSTUDIO USING R PROGRAMMING LANGUAGE) Prepared By: KAIFY RAIS in.linkedin.com/pub/kaify-rais/31/346/886/ Acknowledgement This project is done as a final project as a part of the training course titled “Business Analytics with R”. I am really thankful to our course instructor Mr. Ajay Ohri, Founder, DecisionStats, for giving me an opportunity to work on the project “Twitter Analysis using R” and providing me with the necessary support and guidance which made me complete the project on time. I am extremely grateful to him for providing me the necessary links and material to start the project and understand the concept of Twitter Analysis using R. In this project “Twitter Analysis using R” , I have performed the Sentiment Analysis and Text Mining techniques on “#Kejriwal “. This project is done in RStudio which uses the libraries of R programming languages. I am really grateful to the resourceful articles and websites of R-project which helped me in understanding the tool as well as the topic. Also, I would like to extend my sincere regards to the support team of Edureka for their constant and timely support. Table of Contents Introduction 4 Limitations 4 Tools and Packages used 5 Twitter Analysis: 6 Creating a Twitter Application 6 Working on RStudio- Building the corpus 8 Saving Tweets 11 Sentiment Function 12 Scoring tweets and adding column 13 Import the csv file 14 Visualizing the tweets 15 Analysis & Conclusion...
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...Creating Usable Customer Intelligence from Social Media Data: Network Analytics meets Text Mining Killian Thiel Tobias Kötter Dr. Michael Berthold Dr. Rosaria Silipo Phil Winters Killian.Thiel@uni-konstanz.de Tobias.koetter@uni-konstanz.de Michael.Berthold@uni-konstanz.de Rosaria.Silipo@KNIME.com Phil.Winters@KNIME.com Copyright © 2012 by KNIME.com AG all rights reserved Revision: 120403F page 1 Table of Contents Creating Usable Customer Intelligence from Social Media Data: Network Analytics meets Text Mining............................................................................................................................................ 1 Summary: “Water water everywhere and not a drop to drink” ............................................................ 3 Social Media Channel-Reporting Tools. .................................................................................................. 3 Social Media Scorecards .......................................................................................................................... 4 Predictive Analytic Techniques ............................................................................................................... 4 The Case Study: A Major European Telco. ............................................................................................. 5 Public Social Media Data: Slashdot ....................................................................................................
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...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 chosen to further discuss a number of the themes seen in the charts below. Theme: One Day Without Shoes The most talked about theme turned out to be Social Justice and a large sub theme of social justice was Toms campaign advertising campaign; One Day Without Shoes. Therefore we began to evaluate the effectiveness of the Toms Shoes campaign “One day without shoes,” which is held every year. This year of 2012 the event was held on April 10th, 2012. We predicted that advertising of the campaign through digital and traditional media would increase brand awareness to customers and therefore show an increase in the online chatter or buzz before the date of campaign. We also expected to see many positive comments and customer participation after...
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...Big data spans four dimensions: Volume, Velocity, Variety, and Veracity. Volume: Enterprises are awash with ever-growing data of all types, easily amassing terabytes—even petabytes—of information. Turn 12 terabytes of Tweets created each day into improved product sentiment analysis Convert 350 billion annual meter readings to better predict power consumption Velocity: Sometimes 2 minutes is too late. For time-sensitive processes such as catching fraud, big data must be used as it streams into your enterprise in order to maximize its value. Scrutinize 5 million trade events created each day to identify potential fraud Analyze 500 million daily call detail records in real-time to predict customer churn faster Variety: Big data is any type of data - structured and unstructured data such as text, sensor data, audio, video, click streams, log files and more. New insights are found when analyzing these data types together. Monitor 100’s of live video feeds from surveillance cameras to target points of interest Exploit the 80% data growth in images, video and documents to improve customer satisfaction Veracity: 1 in 3 business leaders don’t trust the information they use to make decisions. How can you act upon information if you don’t trust it? Establishing trust in big data presents a huge challenge as the variety and number of sources grows. Big data is more than simply a matter of size; it is an opportunity to find insights in new and emerging types of data...
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...drastically. The prime purpose of this paper is to present the study on correlation between crops production and Co2 Emissions of selected countries. This is not an experimental approach as here we are just gathering the data from website and analyzing relation between Co2 Emission and crops production. Co2 Emission Crops Production is the initial notion. In this paper we are going to check whether the initial notion is true or not according to numbers(data) that we have. For the observational purpose we are considering 3 crops(1Cereal type, 1 Vegetable, 1 fruits) and 2 countries as listed in below table. Variables Potatoes(Vegetable) Rice(Cereal) Banana(Fruits) Report on Crop Production Vs Co2 Emission Countries Mexico Egypt Page 2 Analysis on Mexico: Below are the graphs for Rice, Potatoes, bananas production in...
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...is a process that transforms text into conceptual representation. In this paper, we propose a Text Understanding System for Malay Language. The system comprises of two components: Morphology Analyzer and Semantic Text Interpreter. Some initial evaluation experiments were conducted on these components to gain explanatory insights into its performance. All the current text processing systems we reviewed are focused on preliminary algorithms and rules associated to lexical, morphological and syntax analysis. In our paper, we developed an integrated approach for a text understanding system that has the ability to represent the semantics of the text. Keywords-Natural Language Understanding; Morphology Interpretation. Processing; Semantic Analysis; Semantic Text Text I. INTRODUCTION The development of fast algorithms to understand and exploit the content of a document, and extracting useful information is very critical. In recent years, development in the area of semantic analysis of natural language text has triggered many applications in Text Mining, Summarization, Text Understanding, Information Retrieval and Extraction. Extracting actionable insight from large highly dimensional data sets, and its use for more effective...
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...theories of people’s opinion. Online reviews became increasingly popular in a broad way for people to share their views and sentiment with other users towards any product. These online reviews provide a healthy information about any product which is newly launched in the market. This could be very useful for the business people to improve their product’s quality and productivity. to make reviews in their own field. There comes Sentiment analysis which makes review using the people’s attitude accordingly. Sentiment analysis/opinion mining has attracted its attention all over the world. Extraction of sentiment word and sentiment target from online reviews are the two...
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...Declaration of Sentiments and Resolutions was one of America’s most utilizing tools for advocating women’s rights. Elizabeth Cady Stanton was the brave author and advocate of this amazing document set before the government apposing legitimate rights for all women across the U.S. With the help of other women who were “fed up,” Elizabeth Stanton, stood and presented the first ever, unlawful acts against, that were posed upon woman in the 18th century and every year before that. In Seneca Falls, NY in 1848 at the very first women’s rights convention, was where the independence of women’s rights finally took a turn for the better. Not only was “The Declaration of Sentiments and Resolutions,” presented during the same month that the congress passed “The Declaration of Independence,” but was actually rooted back to the very same objective as “The Declaration of Independence.” Elizabeth Cady Stanton was one of the most influential women of the 19th century. Leading campaigns for women’s rights, Stanton’s goal was focused on "gaining opportunities for women such as; the right to appeal for a divorce, the right for complete custody of her own children, property rights, and her most fundamental demand at that time was for; women’s right to vote. Stanton was determined to put a stop to segregation between men and woman but also wished to instill independence and self-reliance in women nationwide. Within doing so, Stanton revised many imperative speeches, not only “The Declaration of Sentiments,” but...
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...Joseph Vaccaro Professor Leslie Lindenauer HIS 148 20 October, 2011 Independence: For All or For Some The Declaration of Sentiments written by Elizabeth Cody Stanton, and The Meaning of July Fourth for the Negro by Frederick Douglas are two documents that portray their own explanation of freedom and independence. These two activists portray their justification in their own way, one heavily towards women the other towards the African American people. Freedom should be for all not for some, it should be for blacks, whites, men, and women. Elizabeth Cody Stanton follows the framework of the Declaration of Independence very closely when writing the Declaration of Sentiments. She uses the wording to show connections between women and the rest of the American people during this time. The Declaration of Independence states, “We hold this truth to be self evident that all men are created equal. However, Stanton throughout her declaration re-phrases this in a way that all men and women are created equal. Throughout the Declaration of Sentiments, Stanton mimics the style of the Declaration of Independence, in this case it directs its anger towards the King of England “He has obstructed the Administration of Justice” and “He has dissolved Representative Houses repeatedly.” She instead uses the word “He” not to refer to the king but to refer to the controlling males in society during this time period. Along with those issues Stanton also has concerns with the freedom...
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