PPT-Your Sentiment Precedes You

Author : pamella-moone | Published Date : 2016-06-21

Using an authors historical tweets to predict sarcasm Anupam Khattri 2 Aditya Joshi 13 Pushpak Bhattacharyya 1 Mark James Carman 3 1 Indian Institute of

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Your Sentiment Precedes You: Transcript

Using an authors historical tweets to predict sarcasm Anupam Khattri 2 Aditya Joshi 13 Pushpak Bhattacharyya 1 Mark James Carman 3 1 Indian Institute of Technology Bombay India. Chenghua. Lin . & . Yulan. He. CIKM09. Main Idea. This . paper . proposes . a novel probabilistic modeling framework based on . Latent . Dirichlet. Allocation (LDA), called joint sentiment/. , 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. 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 . 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=&. 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. 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 . 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. in an HDP-Based Rating Regression Model for Online Reviews. Zheng Chen. 1. , Yong Zhang. 1,. 2. , Yue Shang. 1. , Xiaohua Hu. 1. 1. Drexel University, USA. 2. China Central Normal University, China. 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. 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. Undergraduate Researchers: Juweek . Adolphe . Ressi . Miranda. Graduate Student Mentor: Zhaoyu Li. Faculty Advisor: Dr. Yi Shang. 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.. 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. 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..

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