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» Modeling online reviews with multi-grain topic models
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ECAI
2010
Springer
13 years 5 months ago
Multi Grain Sentiment Analysis using Collective Classification
Abstract. Multi grain sentiment analysis is the task of simultaneously classifying sentiment expressed at different levels of granularity, as opposed to single level at a time. Mod...
S. Shivashankar, B. Ravindran
WWW
2008
ACM
14 years 5 months ago
Modeling online reviews with multi-grain topic models
In this paper we present a novel framework for extracting the ratable aspects of objects from online user reviews. Extracting such aspects is an important challenge in automatical...
Ivan Titov, Ryan T. McDonald
EMNLP
2010
13 years 2 months ago
Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid
Discovering and summarizing opinions from online reviews is an important and challenging task. A commonly-adopted framework generates structured review summaries with aspects and ...
Wayne Xin Zhao, Jing Jiang, Hongfei Yan, Xiaoming ...
KDD
2010
ACM
246views Data Mining» more  KDD 2010»
13 years 3 months ago
Latent aspect rating analysis on review text data: a rating regression approach
In this paper, we define and study a new opinionated text data analysis problem called Latent Aspect Rating Analysis (LARA), which aims at analyzing opinions expressed about an e...
Hongning Wang, Yue Lu, Chengxiang Zhai
KDD
2007
ACM
122views Data Mining» more  KDD 2007»
14 years 5 months ago
Expertise modeling for matching papers with reviewers
An essential part of an expert-finding task, such as matching reviewers to submitted papers, is the ability to model the expertise of a person based on documents. We evaluate seve...
David M. Mimno, Andrew McCallum