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149
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CIKM
2008
Springer
15 years 5 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai
AND
2009
15 years 1 months ago
Discovering voter preferences in blogs using mixtures of topic models
In this paper we propose a new approach to capture the inclination towards a certain election candidate from the contents of blogs and to explain why that inclination may be so. T...
Pradipto Das, Rohini K. Srihari, Smruthi Mukund
101
Voted
WWW
2008
ACM
16 years 4 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
123
Voted
WWW
2009
ACM
16 years 4 months ago
Purely URL-based topic classification
Given only the URL of a web page, can we identify its topic? This is the question that we examine in this paper. Usually, web pages are classified using their content [7], but a U...
Eda Baykan, Monika Rauch Henzinger, Ludmila Marian...
166
Voted
ESWS
2005
Springer
15 years 9 months ago
RELFIN - Topic Discovery for Ontology Enhancement and Annotation
While classic information retrieval methods return whole documents as a result of a query, many information demands would be better satisfied by fine-grain access inside the docu...
Markus Schaal, Roland M. Müller, Marko Brunze...