52 search results - page 4 / 11 » Topic and Trend Detection in Text Collections Using Latent D... |
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
In this paper, the task of text segmentation is approached from a topic modeling perspective. We investigate the use of latent Dirichlet allocation (LDA) topic model to segment a ...
ICPR
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract—Following the trend of “segmentation for recognition”, we present 2LDA, a novel generative model to automatically segment an image in 2 segments, background and fore...
NIPS
2008
13 years 8 months ago
2008
Hierarchical probabilistic modeling of discrete data has emerged as a powerful tool for text analysis. Posterior inference in such models is intractable, and practitioners rely on...
NIPS
2007
13 years 8 months ago
2007
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Most topic models, such as latent Dirichlet allocation, rely on the bag-of-words assumption. However, word order and phrases are often critical to capturing the meaning of text in...