52 search results - page 1 / 11 » Topic and Trend Detection in Text Collections Using Latent D... |
ECIR
2009
Springer
14 years 2 months ago
2009
Springer
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 ...
JCDL
2009
ACM
13 years 11 months ago
2009
ACM
We propose a generative model based on latent Dirichlet allocation for mining distinct topics in document collections by integrating the temporal ordering of documents into the ge...
NIPS
2001
13 years 6 months ago
2001
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian m...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Topic-based text summaries promise to help average users quickly understand a text collection and derive insights. Recent research has shown that the Latent Dirichlet Allocation (...
EMNLP
2010
13 years 2 months ago
2010
Models of latent document semantics such as the mixture of multinomials model and Latent Dirichlet Allocation have received substantial attention for their ability to discover top...