Analysis of diverse tourist information distributed across the internet

Takeshi Tsuchiya*, Hiroo Hirose, Tadashi Miyosawa, Tetsuyasu Yamada, Hiroaki Sawano, Keiichi Koyanagi


研究成果: Conference contribution


Herein, we propose and discuss a new method for analyzing various types of tourist information about the Suwa area of Nagano Prefecture, Japan, available on the Internet. This information includes not only long sentences that can be found on web pages and in blogs, but also short sentences comprising a few words posted on social media. In this paper, we propose a novel method based on a neural network, called paragraph vector, for expressing relationships between words included in sentences. Our method achieves high retrieval accuracy even across social media posts comprising just a few words. Based on our evaluation results, the proposed method outperforms the conventional information retrieval technique wherein sufficient accuracy cannot be achieved as it is based on the occurrence probability of words in sentences. This improvement is achieved by using the word order as an input feature to the neural network model.

ホスト出版物のタイトルFuture Data and Security Engineering- 5th International Conference, FDSE 2018, Proceedings
編集者Tran Khanh Dang, Nam Thoai, Josef Küng, Roland Wagner, Makoto Takizawa
出版ステータスPublished - 2018
イベント5th International Conference on Future Data and Security Engineering, FDSE 2018 - Ho Chi Minh City, Viet Nam
継続期間: 2018 11月 282018 11月 30


名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11251 LNCS


Conference5th International Conference on Future Data and Security Engineering, FDSE 2018
国/地域Viet Nam
CityHo Chi Minh City

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)


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