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ECIR
2009
Springer
14 years 1 months ago
Topic and Trend Detection in Text Collections Using Latent Dirichlet Allocation
Algorithms that enable the process of automatically mining distinct topics in document collections have become increasingly important due to their applications in many fields and ...
Levent Bolelli, Seyda Ertekin, C. Lee Giles
KDD
2010
ACM
435views Data Mining» more  KDD 2010»
13 years 8 months ago
Topic models with power-law using Pitman-Yor process
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...
Issei Sato, Hiroshi Nakagawa
SIGIR
2008
ACM
13 years 4 months ago
Latent dirichlet allocation based multi-document summarization
Extraction based Multi-Document Summarization Algorithms consist of choosing sentences from the documents using some weighting mechanism and combining them into a summary. In this...
Rachit Arora, Balaraman Ravindran