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Hidden Topic Markov Models
Google Tech TalksAugust 8, 2007ABSTRACTAlgorithms such as Latent Dirichlet Allocation (LDA) have achieved significant progress in modeling word document relationships. These algorithms assume each word in the document was generated by a hidden topic and explicitly model the word distribution of each topic as well as the prior distribution over topics in the document. Given these parameters, the topics of all words in the same document are assumed to be independent.In this work, we propose modeling the topics of words in the document as a Markov chain. Specifically, we assume that all words in the same sentence have the same topic, and successive sentences are more likely to have the same...
Channel: Howto & Style
Uploaded: November 30, 1999 at 12:00 am
Author: googletechtalks
Length: 59:14
Rating: 5.00
Views: 3252
Tags: google hidden howto markov models topic
Video Comments
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batteekha (November 30, 1999 at 12:00 am)
Hey Amith... good two
shanbk (November 30, 1999 at 12:00 am)
Hey Amith ... good one. |
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