PPT-Twitter as a Corpus for Sentiment Analysis and Opinion Mini

Author : tatiana-dople | Published Date : 2017-06-26

Adam Rosenberg Leandra Irvine Gus Logsdon Twitter New Huge Microblogging Platform 2010 Twitter Daily Life Variety of People Twitter is Useful Politics Marketing

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Twitter as a Corpus for Sentiment Analysis and Opinion Mini: Transcript

Adam Rosenberg Leandra Irvine Gus Logsdon Twitter New Huge Microblogging Platform 2010 Twitter Daily Life Variety of People Twitter is Useful Politics Marketing Sentiment Analysis. Massimo Poesio. Lecture 4: Sentiment analysis . (aka Opinion Mining). FACTS AND OPINIONS. Two main types of textual information on the . Web: FACTS . and. OPINIONS. Current search engines search for facts (assume they are true). Set 6. Sentiment and Opinions. It's about finding out what people think.... Can be big business…. Someone who wants to buy a camera. Looks for reviews online. Someone who just bought a camera. Writes reviews online. sentiment analysis, and beyond. Bettina Berendt. Department . o. f Computer Science. KU Leuven, Belgium. http://people.cs.kuleuven.be/~bettina.berendt. /. Summer School . Foundations and Applications of Social Network Analysis & Mining. Dr. . Verena. . Rieser. & Prof. Rob . Pooley. . Sentiment Analysis of Arabic Social Networks . Presented by. Eshrag. . Refaee. Outline . The concept of sentiment analysis. Arabic as a morphologically rich language. Yuh. Day. 戴敏育. Assistant Professor. 專任助理教授. . Dept. of Information Management. , . Tamkang. University. 淡江大學. . 資訊管理學系. http://mail. tku.edu.tw/. myday. /. 2016-11-01. Giacomo Righetti, dept. of Computer Science, University of Pisa, ISTI-CNR. Agenda. Part I. Introduction. Motivations . and Issues . User level informations. Topics. Part II. Discussion about topics. Giacomo Righetti, dept. of Computer Science, University of Pisa, ISTI-CNR. Undergraduate Researchers: Juweek . Adolphe . Ressi . Miranda. Graduate Student Mentor: Zhaoyu Li. Faculty Advisor: Dr. Yi Shang. SENTIMENT ANALYSIS. FACTS AND OPINIONS. Two main types of textual information on the . Web: FACTS . and. OPINIONS. Current search engines search for facts (assume they are true). Facts can be expressed with topic keywords. Awais. . Athar. . &. Simone . Teufel. Sentiment Analysis of Citations. Challenges in Citation Sentiment Analysis. Negative sentiment is ‘politically dangerous’. - (. Z. iman. , . 1968). Personal biases are h. Positive or negative movie review?. unbelievably . disappointing . Full of . zany characters and richly applied satire, and some great plot . twists. this is the greatest screwball comedy ever . filmed. Slides from Bing Liu and Ronan Feldman. Introduction. Two main types of textual information. . Facts and Opinions. Note: factual statements can imply opinions too.. Most current text information processing methods (e.g., web search, text mining) work with factual information.. and opinion mining. ‹#›. Bettina Berendt. Department of Computer Science. KU Leuven, Belgium. http://people.cs.kuleuven.be/~bettina.berendt/. Vienna Summer School on Digital Humanities. July 7. th. Bettina Berendt. Department . o. f Computer Science. KU Leuven, Belgium. http://people.cs.kuleuven.be/~bettina.berendt. /. Summer School . Foundations and Applications of Social Network Analysis & Mining. Lecture Two: . March 3, . 2011. Aditya. M Joshi. M Tech3, CSE. IIT Bombay. {adityaj@cse.iitb.ac.in}. Sentiment analysis (SA). Task of tagging text with orientation of opinion. This is a good movie..

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