A Probabilistic Topic Model based on an Arbitrary-Length Co-occurrence Window

A Probabilistic Topic Model based on an Arbitrary-Length Co-occurrence Window

Probabilistic topic models have been very popular in automatic text analysis since their introduction. These models work based on word co-occurrence, but are not very flexible with respect to the context in which cooccurrence is considered. Many probabilistic topic models do not allow for taking loc...

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Bibliographic Details
Main Authors: Marziea Rahimi, Morteza Zahedi, Hoda Mashayekhi
Format: Article
Language:English
Published: Iran Telecom Research Center 2017-06-01
Series:International Journal of Information and Communication Technology Research
Subjects:
probabilistic topic modeling
co-occurrence
context window
gibbs sampling
generative models
Online Access:http://ijict.itrc.ac.ir/article-1-38-en.html

Internet

http://ijict.itrc.ac.ir/article-1-38-en.html

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