Presentation information

Oral presentation

General Session » [General Session] 6. Web Mining

[1E3] [General Session] 6. Web Mining

Tue. Jun 5, 2018 5:20 PM - 7:00 PM Room E (4F Queen)

座長:伊藤 雅弘(株式会社東芝)

5:40 PM - 6:00 PM

[1E3-02] Extraction of Product and Shop Names of Souvenir from Blog Articles

〇Ryuya Ikeda1, Kazuaki Ando1 (1. Kagawa University)

Keywords:Souvenir, blog, Conditional Random Fields, Extraction

Demand for souvenirs that can be purchased only at the particular location or area is increasing, because anyone can purchase various souvenirs on online shopping sites. Such souvenirs are called local limited souvenirs in this paper. However, there are no Web sites and services that collected information about local limited souvenirs. The purpose of this study is to construct a system that presents useful information about local limited souvenirs, in order to provide support for selecting souvenirs. This paper proposes a method for extracting names of souvenirs and shops from blog articles using CRF (Conditional Random Fields). The effectiveness of the proposed method was confirmed by evaluation experiments.