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CSE
2009
IEEE
14 years 4 months ago
Probabilistic Generative Models of the Social Annotation Process
—With the growth in the past few years of social tagging services like Delicious and CiteULike, there is growing interest in modeling and mining these social systems for deriving...
Said Kashoob, James Caverlee, Elham Khabiri
ICSM
2009
IEEE
14 years 4 months ago
What's hot and what's not: Windowed developer topic analysis
As development on a software project progresses, developers shift their focus between different topics and tasks many times. Managers and newcomer developers often seek ways of un...
Abram Hindle, Michael W. Godfrey, Richard C. Holt
DAWAK
2008
Springer
13 years 11 months ago
Adapting LDA Model to Discover Author-Topic Relations for Email Analysis
Analyzing the author and topic relations in email corpus is an important issue in both social network analysis and text mining. The AuthorTopic model is a statistical model that id...
Liqiang Geng, Hao Wang, Xin Wang, Larry Korba
NIPS
2008
13 years 11 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
ICML
2009
IEEE
14 years 10 months ago
MedLDA: maximum margin supervised topic models for regression and classification
Supervised topic models utilize document's side information for discovering predictive low dimensional representations of documents; and existing models apply likelihoodbased...
Jun Zhu, Amr Ahmed, Eric P. Xing