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» Evaluation methods for topic models
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ICML
2009
IEEE
15 years 10 months ago
Incorporating domain knowledge into topic modeling via Dirichlet Forest priors
Users of topic modeling methods often have knowledge about the composition of words that should have high or low probability in various topics. We incorporate such domain knowledg...
David Andrzejewski, Xiaojin Zhu, Mark Craven
COLING
1996
14 years 11 months ago
Modeling Topic Coherence for Speech Recognition
Statistical language models play a major role in current speech recognition systems. Most of these models have focussed on relatively local interactions between words. Recently, h...
Satoshi Sekine
LREC
2008
137views Education» more  LREC 2008»
14 years 11 months ago
Combining Multiple Models for Speech Information Retrieval
In this article we present a method for combining different information retrieval models in order to increase the retrieval performance in a Speech Information Retrieval task. The...
Muath Alzghool, Diana Inkpen
WSDM
2012
ACM
309views Data Mining» more  WSDM 2012»
13 years 5 months ago
Mining contrastive opinions on political texts using cross-perspective topic model
This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Modeling (COM). Given any query topic and a set of text collections from multiple ...
Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu
CIKM
2006
Springer
15 years 1 months ago
Topic evolution and social interactions: how authors effect research
We propose a method for discovering the dependency relationships between the topics of documents shared in social networks using the latent social interactions, attempting to answ...
Ding Zhou, Xiang Ji, Hongyuan Zha, C. Lee Giles