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NIPS
2007
13 years 11 months ago
Sparse Overcomplete Latent Variable Decomposition of Counts Data
An important problem in many fields is the analysis of counts data to extract meaningful latent components. Methods like Probabilistic Latent Semantic Analysis (PLSA) and Latent ...
Madhusudana V. S. Shashanka, Bhiksha Raj, Paris Sm...
ICASSP
2011
IEEE
13 years 1 months ago
Bayesian topic models for describing computer network behaviors
We consider the use of Bayesian topic models in the analysis of computer network traffic. Our approach utilizes latent Dirichlet allocation and time-varying dynamic latent Dirich...
Christopher Cramer, Lawrence Carin
CIKM
2009
Springer
14 years 4 months ago
Joint sentiment/topic model for sentiment analysis
Sentiment analysis or opinion mining aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text. This paper proposes ...
Chenghua Lin, Yulan He
SIGIR
2006
ACM
14 years 3 months ago
LDA-based document models for ad-hoc retrieval
Search algorithms incorporating some form of topic model have a long history in information retrieval. For example, cluster-based retrieval has been studied since the 60s and has ...
Xing Wei, W. Bruce Croft
SIGIR
2009
ACM
14 years 4 months ago
Named entity recognition in query
This paper addresses the problem of Named Entity Recognition in Query (NERQ), which involves detection of the named entity in a given query and classification of the named entity...
Jiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li