PPT-SENTIMENT

OPINIONS EMOTIONS Heng Ji jihrpiedu October 22 2014 Acknowledgement Some slides from Jan Wiebe and Kavita Ganesan 2 OUTLINE Emotion Detection Subjectivity Overview Sentiment Analysis. Chenghua. Lin . & . Yulan. He. CIKM09. Main Idea. This . paper . proposes . a novel probabilistic modeling framework based on . Latent . Dirichlet. Allocation (LDA), called joint sentiment/. Abhijit. Mishra. 1. , . Aditya. Joshi. 1,2,3. , . Pushpak. Bhattacharyya. 1. 1 . IIT Bombay, India . 2 . Monash. University, Australia. 3. IITB-Monash Research Academy. At 5th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, ACL 2014, Baltimore . Jason Kessler. Data Scientist, CDK Global. @. jasonkessler. www.jasonkessler.com. Customer-Written Product Reviews. Good Ad Content. Naïve Approach: Indicators of Positive Sentiment. "If you ask a Subaru owner what they think of their car, more times than not they'll tell you they love it," . Heng. . Ji. jih@rpi.edu. October . 28, 2015. 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=&. Some Important . Techniques. Discussions: Based on Research Papers. Some Important Techniques. Some Important Techniques. Some Important Techniques. Merits and Limitations of Applied Techniques. Discussions: Based on Research Papers. 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. Reviews & Speech. Ling 573. Systems and Applications. May . 26, 2016. Roadmap. Abstractive summarization example. Using Abstract Meaning Representation. Review . summarization:. Basic approach. Learning what users want. CSE, HKUST. March . 27. Recap. What have we done for the project? . Phase . I: Data . Collection. Collect . data from the . Web. . (at least 4 data sources). Parse the data using different tool. Design . 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 . 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. 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. 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. Maureen Cowhey, Seung Jung Lee. Thomas Popeck Spiller, and Cindy M. Vojtech . September 29, 2022. Disclaimer: The views expressed herein are those of the authors, and do not necessarily represent the views of the Federal Reserve Board or its staff..