PPT-H ierarchical Attention Transfer Network for Cross-domain Sentiment Classification

Zheng Li Ying Wei Yu Zhang Qiang Yang Hong Kong University of Science and Technology CrossDomain Sentiment classification Training data Testing data Books Restaurant Sentiment Classifier. 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. 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=&. Lecture 1: Sentiment Lexicons and Sentiment Classification. Dan Jurafsky. Computational Extraction of Social and Interactional Meaning from Speech . IP notice: many slides for today from . Chris Manning, William Cohen, Chris Potts . 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. 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. 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=&. 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. 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. 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. 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. Span . of . Attention/Apprehension. Distraction of . Attention. Distraction of Attention ​. Fluctuation of Attention. Division of . Attention. Attending to more than one act at a time is known as division of attention. In such situations, we will divide our attention towards more than one act.. 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. Region : Geneva. Region : Budapest. Region : Brazil. Region : India. QUANTUM. NOVA. CINDER. NOVA. NOVA. QUANTUM. CINDER. QUANTUM. CINDER. QUANTUM. CINDER. As no region is mentioned, hence this . quota needs to be shared across all .