Extraction of Topical Consumer Products from Weblogs

Authors

  • Shinichi Nagano Toshiba Corporation
  • Masumi Inaba Toshiba Corporation
  • Yumiko Mizoguchi Toshiba Corporation
  • Takahiro Kawamura Toshiba Corporation

Abstract

This paper proposes a new algorithm of associated topic extraction, which detects related topics in a collection of blog entries commenting on a specified topic. The main feature of the algorithm is to evaluate how important a topic is to the collection, according to the popularity of blog entries through Trackbacks and comments. Another feature is to utilize product ontology for excluding unrelated topics. Evaluation results show that the proposed algorithm can capture users' impressions of associated topics more accurately than TF-IDF.

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Published

2021-09-25

How to Cite

Nagano, S., Inaba, M., Mizoguchi, Y., & Kawamura, T. (2021). Extraction of Topical Consumer Products from Weblogs. Proceedings of the International AAAI Conference on Web and Social Media, 2(1), 212-213. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/18656