PPT-Opinion mining, sentiment analysis, and beyond

Bettina Berendt Department o f Computer Science KU Leuven Belgium httppeoplecskuleuvenbebettinaberendt Summer School Foundations and Applications of Social Network Analysis amp Mining. 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). _______________________________________________________________________________________________________________. Shashwat Chandra advisor: Amitabha mukerjee. Nitish Gupta. Motivation. Important task of review mining is to extract people’s opinions and sentiments on features of products. . Smaranda. . Muresan. Columbia University. smara@ccls.columbia.edu. Sentiment Lexicons. Announcements. Class setup on . Courseworks. too. Class website linked to . Courseworks. (“Class website” tab). 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. , OPINIONS, EMOTIONS. Heng. . Ji. jih@rpi.edu. October 22, 2014. Acknowledgement: Some slides from Jan . Wiebe. and . Kavita. . Ganesan. . 2. OUTLINE. Emotion Detection. Subjectivity Overview. Sentiment Analysis. 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. 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. 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. Big Data Analytics. 社群運算與大數據分析. 1. 1052SCBDA08. MIS MBA (M2226) . (8606). Wed, 8,9, (15:10-17:00) (L206). Min-Yuh Day. 戴敏育. Assistant Professor. 專任助理教授. . Dept. of Information Management. 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.. Analysis. Navid. . Rekabsaz. rekabsaz@ifs.tuwien.ac.at. Sentiment of banks’ reports towards risk. . in economy . [6]. Analysis of 350 occupations . over . the . Wikipedia . articles, showing bias in English language to female/male factors.. 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. 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..