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

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter


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.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Number of pages7
Publication statusPublished - 2020 Jan 1

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X


  • Paragraph Vector
  • SNS
  • Tourism information

ASJC Scopus subject areas

  • Artificial Intelligence


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