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» Detecting Topic Drift with Compound Topic Models
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TOIS
2010
128views more  TOIS 2010»
13 years 5 months ago
Learning author-topic models from text corpora
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L...
HUMO
2007
Springer
14 years 1 months ago
Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition
We propose a new method for human action recognition from video sequences using latent topic models. Video sequences are represented by a novel “bag-of-words” representation, w...
Yang Wang 0003, Payam Sabzmeydani, Greg Mori
WWW
2008
ACM
14 years 8 months ago
Social and semantics analysis via non-negative matrix factorization
Social media such as Web forum often have dense interactions between user and content where network models are often appropriate for analysis. Joint non-negative matrix factorizat...
Zhi-Li Wu, Chi-Wa Cheng, Chun-hung Li
ASUNAM
2010
IEEE
13 years 6 months ago
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks
—The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Previous evolutionary based clustering methods try to maxi...
Francesco Folino, Clara Pizzuti
TREC
2007
13 years 8 months ago
Exploring Traits of Adjectives to Predict Polarity Opinion in Blogs and Semantic Filters in Genomics
: This paper presents the results of our team in the Genomics and Blog tracks in TREC 2007. We used the language model implementation provided by Indri for both tracks. For the BLO...
Miguel E. Ruiz, Ying Sun, Jianqiang Wang, Hongfang...