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» Modeling online reviews with multi-grain topic models
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ACL
2006
13 years 9 months ago
Automatic Identification of Pro and Con Reasons in Online Reviews
In this paper, we present a system that automatically extracts the pros and cons from online reviews. Although many approaches have been developed for extracting opinions from tex...
Soo-Min Kim, Eduard H. Hovy
NIPS
2007
13 years 9 months ago
Supervised Topic Models
We introduce supervised latent Dirichlet allocation (sLDA), a statistical model of labelled documents. The model accommodates a variety of response types. We derive a maximum-like...
David M. Blei, Jon D. McAuliffe
RIAO
2007
13 years 9 months ago
Investigating Retrieval Performance with Manually-Built Topic Models
Modeling text with topics is currently a popular research area in both Machine Learning and Information Retrieval (IR). Most of this research has focused on automatic methods thou...
Xing Wei, W. Bruce Croft
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 8 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
12 years 3 months ago
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
Ankan Saha, Vikas Sindhwani