Research on improvement of information platform for local tourism by paragraph vector

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

研究成果: Chapter

抄録

In this paper, we discuss and propose the analysis and search method of various information on tourism in the Suwa area of Nagano Prefecture on the Internet. These pieces of information include not only long sentences such as web pages and blogs, but also a lot of content of SNS composed of short sentences of about several words. Therefore, by the conventional search method, based on the occurrence probability of words in sentences, sufficient accuracy cannot be expected for the search of SNS information composed of several words. In this research, we examined a method using Paragraph Vector for expressing relationships of words included in sentences. By doing this, we aim to acquire the same level of search performance even for SNS content composed of several words.

本文言語English
ホスト出版物のタイトルStudies in Computational Intelligence
出版社Springer Verlag
ページ115-121
ページ数7
DOI
出版ステータスPublished - 2020 1 1

出版物シリーズ

名前Studies in Computational Intelligence
819
ISSN(印刷版)1860-949X

ASJC Scopus subject areas

  • Artificial Intelligence

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