Multilingual Probabilistic Topic Modeling And Its Applications In Web Mining And Search
WSDM(2014)
摘要
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 search.
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