A travel decision support algorithm: Landmark activity extraction from japanese travel comments

Siya Bao*, Masao Yanagisawa, Nozomu Togawa

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter


To help people smoothly and efficiently make travel decisions, we utilize the advantages of travel comments posted by thousands of other travelers. In this paper, we analyze the feasibility of exploring landmark activity queries and representative examples from Japanese travel comments. Contributions in this paper include a framework for extracting activity concerned keywords and queries, quantifying the relationship between landmark activities and comment contents. An evaluation of activity-example extraction is conducted in two case studies through 18,939 travel comments.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Number of pages15
Publication statusPublished - 2020

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503


  • Activity keyword
  • Activity-example
  • Query construction
  • Travel comment

ASJC Scopus subject areas

  • Artificial Intelligence

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