An effective category classification method based on a language model for question category recommendation on a cQA service

Authors:
Kyoungman Bae;Youngjoong Ko
Affiliations:
Dong-A University, Busan, South Korea;Dong-A University, Busan, South Korea
Venue:
Proceedings of the 21st ACM international conference on Information and knowledge management
Year:
2012

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Abstract

Classiying user's question into several topics helps respondents answering the question in a cQA service. The word weighting method must estimate the appropriate weight of a word to improve the category (or topic) classification. In this paper, we propose a novel effective word weighting method based on a language model for automatic category classification in the cQA service. We first calculate the occurrence probability of a word in each category by using a language model and then the final weight of each word is estimated by ratio of the occurrence probability of the word on a category to the occurrence probability of the word on the other categories. As a result, the proposed method significantly improves the performance of the category classification.