Blog categorization exploiting domain dictionary and dynamically estimated domains of unknown words

Authors:
Chikara Hashimoto;Sadao Kurohashi
Affiliations:
Yamagata University, Yonezawa-shi, Yamagata, Japan;Kyoto University, Sakyo-ku, Kyoto, Japan
Venue:
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Year:
2008

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Abstract

This paper presents an approach to text categorization that i) uses no machine learning and ii) reacts on-the-fly to unknown words. These features are important for categorizing Blog articles, which are updated on a daily basis and filled with newly coined words. We categorize 600 Blog articles into 12 domains. As a result, our categorization method achieved an accuracy of 94.0% (564/600).