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

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

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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
Pages115-121
Number of pages7
DOIs
Publication statusPublished - 2020 Jan 1

Publication series

NameStudies in Computational Intelligence
Volume819
ISSN (Print)1860-949X

Fingerprint

Blogs
Websites
Internet

Keywords

  • Paragraph Vector
  • SNS
  • Tourism information

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Tsuchiya, T., Hirose, H., Miyosawa, T., Yamada, T., Sawano, H., & Koyanagi, K. (2020). Research on improvement of information platform for local tourism by paragraph vector. In Studies in Computational Intelligence (pp. 115-121). (Studies in Computational Intelligence; Vol. 819). Springer-Verlag. https://doi.org/10.1007/978-3-030-16024-1_15

Research on improvement of information platform for local tourism by paragraph vector. / Tsuchiya, Takeshi; Hirose, Hiroo; Miyosawa, Tadashi; Yamada, Tetsuyasu; Sawano, Hiroaki; Koyanagi, Keiichi.

Studies in Computational Intelligence. Springer-Verlag, 2020. p. 115-121 (Studies in Computational Intelligence; Vol. 819).

Research output: Chapter in Book/Report/Conference proceedingChapter

Tsuchiya, T, Hirose, H, Miyosawa, T, Yamada, T, Sawano, H & Koyanagi, K 2020, Research on improvement of information platform for local tourism by paragraph vector. in Studies in Computational Intelligence. Studies in Computational Intelligence, vol. 819, Springer-Verlag, pp. 115-121. https://doi.org/10.1007/978-3-030-16024-1_15
Tsuchiya T, Hirose H, Miyosawa T, Yamada T, Sawano H, Koyanagi K. Research on improvement of information platform for local tourism by paragraph vector. In Studies in Computational Intelligence. Springer-Verlag. 2020. p. 115-121. (Studies in Computational Intelligence). https://doi.org/10.1007/978-3-030-16024-1_15
Tsuchiya, Takeshi ; Hirose, Hiroo ; Miyosawa, Tadashi ; Yamada, Tetsuyasu ; Sawano, Hiroaki ; Koyanagi, Keiichi. / Research on improvement of information platform for local tourism by paragraph vector. Studies in Computational Intelligence. Springer-Verlag, 2020. pp. 115-121 (Studies in Computational Intelligence).
@inbook{d887889239594d1aae4820f46f0f10c2,
title = "Research on improvement of information platform for local tourism by paragraph vector",
abstract = "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.",
keywords = "Paragraph Vector, SNS, Tourism information",
author = "Takeshi Tsuchiya and Hiroo Hirose and Tadashi Miyosawa and Tetsuyasu Yamada and Hiroaki Sawano and Keiichi Koyanagi",
year = "2020",
month = "1",
day = "1",
doi = "10.1007/978-3-030-16024-1_15",
language = "English",
series = "Studies in Computational Intelligence",
publisher = "Springer-Verlag",
pages = "115--121",
booktitle = "Studies in Computational Intelligence",

}

TY - CHAP

T1 - Research on improvement of information platform for local tourism by paragraph vector

AU - Tsuchiya, Takeshi

AU - Hirose, Hiroo

AU - Miyosawa, Tadashi

AU - Yamada, Tetsuyasu

AU - Sawano, Hiroaki

AU - Koyanagi, Keiichi

PY - 2020/1/1

Y1 - 2020/1/1

N2 - 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.

AB - 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.

KW - Paragraph Vector

KW - SNS

KW - Tourism information

UR - http://www.scopus.com/inward/record.url?scp=85066120551&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85066120551&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-16024-1_15

DO - 10.1007/978-3-030-16024-1_15

M3 - Chapter

T3 - Studies in Computational Intelligence

SP - 115

EP - 121

BT - Studies in Computational Intelligence

PB - Springer-Verlag

ER -