Multilingual probabilistic topic modeling and its applications in web mining and search

WSDM 2014
Pages: 681 - 682
Published: Feb 24, 2014
Abstract
Multilingual topic models are a fairly novel group of unsupervised, language-independent and generative machine learning models. This tutorial covers all key aspects of their probabilistic framework and demonstrates how to easily integrate these models into frameworks for cross-lingual and multilingual Web mining and...
Paper Details
Title
Multilingual probabilistic topic modeling and its applications in web mining and search
Published Date
Feb 24, 2014
Journal
Pages
681 - 682
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