PPT-SENTIMENT ANALYSIS BASED APPROACHES FOR UNDERSTANDING USER

Author : tatyana-admore | Published Date : 2016-12-18

BY SOWMYA KAMATH ANUSHA BAGAL KOTHKAR KUMARI POORNIMA SHIVAM PANDEY AND ASHESH KHANDELWAL Introduction Approaches to Sentiment Analysis Sentiment Analysis Applications

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SENTIMENT ANALYSIS BASED APPROACHES FOR UNDERSTANDING USER: Transcript

BY SOWMYA KAMATH ANUSHA BAGAL KOTHKAR KUMARI POORNIMA SHIVAM PANDEY AND ASHESH KHANDELWAL Introduction Approaches to Sentiment Analysis Sentiment Analysis Applications Current development in Sentiment Analysis. Negative Sentiment. institutional. , underwhelming, . not_nice. , . burntish. , unidentifiable, inefficient, . not_attentive. , grotesque, confused, trashy, insufferable,. grandiose, . not_pleasant. , 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. Heng. . Ji. jih@rpi.edu. October . 25, 2016. Acknowledgement: Some slides from Jan . Wiebe. and . Kavita. . Ganesan. . Emotion Examples. A Happy Song? . A Sad Song. ?. http. ://y.qq.com/webplayer/p.html?songList=%5B%5D&type=1&vip=-1&userName=&ipad=0&from=0&singerid=0&encodedUIN=&. 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. Machine Learning with Large Datasets. Course Project . (under. . the. . guidance. . of. . P. rof. . W. illiam. W. C. ohen. ). T. eam. M. embers. : M. anuel. , S. hubham. . and. S. oumya. 1. Outline. from Affect Sciences to . Computational . Models. Dr.. Alexandra . Balahur. European Commission Joint Research Centre. alexandra.balahur@jrc.ec.europa.eu. . 22 April 2016. Tutorial held at the . 10th edition of the Language Resources and Evaluation Conference, 23-28 May 2016, Portorož (Slovenia). David A. Schweidel. Goizueta. Business School. Emory University. October . 2012. What’s Trending on Social Media?. Agenda. Social Dynamics in Social Media Behavior. Why do people post a product opinion? What influences their posting behavior? (Moe and . . A. NALYTICS. . ON . S. ENTIMENT FOR . S. PATIO-TEMPORAL DATA. U. SE . C. ASE. :. S. PATIO. T. EMPORAL. S. ENTIMENT. A. NALYSIS OF. US E. LECTION. 2016. . 23rd . SIGKDD Conference on Knowledge Discovery and Data . Md. . Mustafizur. . Rahman. and . Hongning. Wang. Department of Computer Science. University of Virginia, Charlottesville,. Virginia, VA 22903. 2. I especially like its . portability. (3 pounds with a . 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. Undergraduate Researchers: Juweek . Adolphe . Ressi . Miranda. Graduate Student Mentor: Zhaoyu Li. Faculty Advisor: Dr. Yi Shang. A R. IITB-. Monash. Research Academy. {balamurali@cse.iitb.ac.in}. Acknowledgment: . Aditya. . Joshi. Mona Lisa. 16. th. century. Artist: Leonardo . da. Vinci. Image from wikimedia commons. Source: Wikipedia .

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