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www.cs.princeton.edu/~blei
Computer Science Department Princeton University Computer Science Room 419 35 Olden St Princeton, NJ 08540 609.258.9907 (P) 609.258.1771 (F) blei@cs.princeton.edu Topic modeling Topic models are a suite of algorithms that uncover the hidden thematic structure in document collections. These algorithms help us develop new ways to search, browse and summarize large archives of texts. Below,
Computer Science Department Princeton University Computer Science Room 419 35 Olden St Princeton, NJ 08540 609.258.9907 (P) 609.258.1771 (F) blei@cs.princeton.edu Topic Modeling Much of my research is in topic modeling, developing algorithms to uncover the hidden thematic structure of a collection of documents. These algorithms help us develop new ways to search, browse and summarize large
Latent Dirichlet allocation This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data. LDA allows you to analyze of corpus, and extract the topics that combined to form its documents. For example, click here to see the topics estimated from a small corpus of Associated Press documents. LDA is fully described in Blei et al. (2
Journal of Machine Learning Research 3 (2003) 993-1022 Submitted 2/02; Published 1/03 Latent Dirichlet Allocation David M. Blei Computer Science Division University of California Berkeley, CA 94720, USA BLEI @ CS . BERKELEY. EDU Andrew Y. Ng Computer Science Department Stanford University Stanford, CA 94305, USA ANG @ CS . STANFORD . EDU Michael I. Jordan Computer Science Division and Depart
David M. Blei Computer Science Department Princeton University Computer Science Room 204 35 Olden St Princeton, NJ 08540 Work: 609.258.9907 Fax: 609.258.1771 Email: blei@cs.princeton.edu Research I am an assistant professor in the Computer Science department of Princeton University. (See my CV.) My Ph.D. advisor was Michael Jordan at U.C. Berkeley Computer Science. I was a postdoctoral r
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