Learning Word Vectors for Sentiment Analysis
The model we present in the next section draws in-spiration from prior work on both probabilistic topic modeling and vector-spaced models for word mean-ings. Latent Dirichlet Allocation (LDA; (Blei et al., 2003)) is a probabilistic document model that as-sumes each document is a mixture of latent top-ics. For each latent topic T, the model learns a
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ai.stanford.eduJournal of Machine Learning Research 3 (2003) 993-1022 Submitted 2/02; Published 1/03 Latent Dirichlet Allocation David M. Blei BLEI@CS.BERKELEY.EDU Computer Science Division University of California Berkeley, CA 94720, USA Andrew Y. Ng ANG@CS.STANFORD.EDU Computer Science Department Stanford University Stanford, CA 94305, USA Michael I. …
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