2008. A Joint Model of Text and Aspect Ratings for Sentiment Summarization

by Ivan Titov , Ryan Mcdonald
Venue:Proc. ACL-08: HLT
Citations:42 - 0 self

Active Bibliography

37 Modeling Online Reviews with Multi-grain Topic Models – Ivan Titov, Ryan McDonald - 2008
Table of Contents Preface..............................................................................................5 Sentiment Analysis: A Fascinating Problem...................................7 – Bing Liu - 2012
1 Constrained LDA for Grouping Product Features in Opinion Mining – Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia
2 2012a. Aspect Extraction through Semi-Supervised Modeling – Arjun Mukherjee, Bing Liu - 2012
Semi-supervised Extraction of Entity Aspects Using Topic Models – Mehrbod Sharifi, Jaime Carbonell, William Cohen
3 Content Modeling Using Latent Permutations – Harr Chen, S. R. K. Branavan, Regina Barzilay, David R. Karger
8 Sentiment summarization: Evaluating and learning user preferences – Kevin Lerman, Sasha Blair-goldensohn, Ryan Mcdonald - 2009
11 Building a sentiment summarizer for local service reviews – Sasha Blair-goldensohn, Tyler Neylon, Kerry Hannan, George A. Reis, Ryan Mcdonald, Jeff Reynar - 2008
Learning Attitudes and Attributes from Multi-Aspect Reviews – Julian Mcauley, Jure Leskovec, Dan Jurafsky
Latent Aspect Rating Analysis without Aspect Keyword Supervision – Hongning Wang, Yue Lu, Chengxiang Zhai
12 Global models of document structure using latent permutations – Harr Chen, S. R. K. Branavan, Regina Barzilay, David R. Karger - 2009
24 Opinion Integration Through Semi-supervised Topic Modeling – Yue Lu, et al. - 2008
Generating Comparative Summaries of . . . – Hyun Duk Kim, et al. - 2009
CONTRADICTORY OPINIONS IN TEXT BY – Hyun Duk Kim
Storage and Retrieval]: Content Analysis and Indexing—Linguistic – Hyun Duk Kim
1 What is an Opinion About? Exploring Political Standpoints using Opinion Scoring Model – Bi Chen, Leilei Zhu, Daniel Kifer, Dongwon Lee
18 Learning Document-Level Semantic Properties from Free-text Annotations – S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Regina Barzilay
ACKNOWLEDGMENTS – David Michael Andrzejewski
11 Bayesian models of cognition – Thomas L. Griffiths, Charles Kemp, Joshua B. Tenenbaum