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» Extractive summarization using a latent variable model
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WWW
2007
ACM
14 years 8 months ago
Topic sentiment mixture: modeling facets and opinions in weblogs
In this paper, we define the problem of topic-sentiment analysis on Weblogs and propose a novel probabilistic model to capture the mixture of topics and sentiments simultaneously....
Qiaozhu Mei, Xu Ling, Matthew Wondra, Hang Su, Che...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 8 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
CICLING
2010
Springer
14 years 25 days ago
Integer Linear Programming for Dutch Sentence Compression
Sentence compression is a valuable task in the framework of text summarization. In this paper we compress sentences from news articles from Dutch and Flemish newspapers written in ...
Jan De Belder, Marie-Francine Moens
IDA
2009
Springer
14 years 2 months ago
Bayesian Solutions to the Label Switching Problem
Abstract. The label switching problem, the unidentifiability of the permutation of clusters or more generally latent variables, makes interpretation of results computed with MCMC ...
Kai Puolamäki, Samuel Kaski
ICASSP
2008
IEEE
14 years 2 months ago
Extracting question/answer pairs in multi-party meetings
Understanding multi-party meetings involves tasks such as dialog act segmentation and tagging, action item extraction, and summarization. In this paper we introduce a new task for...
Andreas Kathol, Gökhan Tür