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

Authors:

Marie-Francine Moens,

Ivan VuliéAuthors Info & Claims

WSDM '14: Proceedings of the 7th ACM international conference on Web search and data mining

Pages 681 - 682

https://doi.org/10.1145/2556195.2556200

Published: 24 February 2014 Publication History

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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 search.

References

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D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent Dirichlet Allocation. Journal of Machine Learning Research, 3:993--1022, 2003.

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[2]

X. Ni, J.-T. Sun, J. Hu, and Z. Chen. Cross lingual text classification by mining multilingual topics from Wikipedia. In WSDM, pages 375--384, 2011.

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[3]

I. Vulić, W. De Smet, and M.-F. Moens. Cross-language information retrieval models based on latent topic models trained with document-aligned comparable corpora. Information Retrieval, 16(3):331--368, 2013.

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[4]

I. Vulić and M.-F. Moens. A unified framework for monolingual and cross-lingual relevance modeling based on probabilistic topic models. In ECIR, pages 98--109, 2013.

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S. Zoghbi, I. Vulić, and M.-F. Moens. I pinned it. Where can i buy one like it? Automatically linking Pinterest pins to online Webshops. In DUBMOD, pages 9--12, 2013.

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Cited By

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(2018)Students search interest model over an organisation based on web log dataInternational Journal of Business Intelligence and Data Mining10.5555/3192182.319218513:1-3(26-39)Online publication date: 15-Dec-2018
https://dl.acm.org/doi/10.5555/3192182.3192185
Zhou XOuyang JLi X(2018)A more time-efficient gibbs sampling algorithm based on SparseLDA for latent dirichlet allocationIntelligent Data Analysis10.3233/IDA-17360922:6(1227-1257)Online publication date: 12-Dec-2018
https://doi.org/10.3233/IDA-173609
Ienco DRoche MRomeo SRosso PTagarelli A(2017)ECIR 2016 Workshop on Modeling, Learning and Mining for Cross/Multilinguality (MultiLingMine '16)ACM SIGIR Forum10.1145/3053408.305342450:2(89-95)Online publication date: 14-Feb-2017
https://dl.acm.org/doi/10.1145/3053408.3053424
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Index Terms

Multilingual probabilistic topic modeling and its applications in web mining and search
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing
    2. Retrieval models and ranking

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Published In

WSDM '14: Proceedings of the 7th ACM international conference on Web search and data mining

February 2014

712 pages

ISBN:9781450323512

DOI:10.1145/2556195

General Chairs:
Ben Carterette
University of Delaware, USA
,
Fernando Diaz
Microsoft Research, USA
,
Program Chairs:
Carlos Castillo
Qatar Computing Research Institute, Qatar
,
Donald Metzler
Google, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 February 2014

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Tutorial

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WSDM 2014

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WSDM 2014: Seventh ACM International Conference on Web Search and Data Mining

February 24 - 28, 2014

New York, New York, USA

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WSDM '14 Paper Acceptance Rate 64 of 355 submissions, 18%;

Overall Acceptance Rate 498 of 2,863 submissions, 17%

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Cited By

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(2018)Students search interest model over an organisation based on web log dataInternational Journal of Business Intelligence and Data Mining10.5555/3192182.319218513:1-3(26-39)Online publication date: 15-Dec-2018
https://dl.acm.org/doi/10.5555/3192182.3192185
Zhou XOuyang JLi X(2018)A more time-efficient gibbs sampling algorithm based on SparseLDA for latent dirichlet allocationIntelligent Data Analysis10.3233/IDA-17360922:6(1227-1257)Online publication date: 12-Dec-2018
https://doi.org/10.3233/IDA-173609
Ienco DRoche MRomeo SRosso PTagarelli A(2017)ECIR 2016 Workshop on Modeling, Learning and Mining for Cross/Multilinguality (MultiLingMine '16)ACM SIGIR Forum10.1145/3053408.305342450:2(89-95)Online publication date: 14-Feb-2017
https://dl.acm.org/doi/10.1145/3053408.3053424
Ienco DRoche MRomeo SRosso PTagarelli A(2016)MultiLingMine 2016: Modeling, Learning and Mining for Cross/MultilingualityAdvances in Information Retrieval10.1007/978-3-319-30671-1_83(869-873)Online publication date: 2016
https://doi.org/10.1007/978-3-319-30671-1_83

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