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Multilingual Probabilistic Topic Modeling and Its Applications in Web Mining and Search by Marie-Francine Moens; Ivan Vulié is a scholarly article available to read on EtoBox.

What is Multilingual Probabilistic Topic Modeling and Its Applications in Web Mining and Search about?

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.

Author

Marie-Francine Moens; Ivan Vulié

Publisher

ACM

Published

2014

Language

EN