Extraction of Urban Keywords through Twitter Data Analysis

• Kawai Yasuo

  Bunkyo University

• Ikebe Masanori

  Bunkyo University

• Ikeda Takeshi

  Fukui University of Technology

• Masuoka Ryo

  Osaka Institute of Technology

Bibliographic Information

Other Title

• Twitter分析による都市キーワードの抽出

Abstract

We analyzed the keywords of the city using SNS, and examined whether it is possible to extract the requests from the citizens who have not been able to grasp them before. We collected and analyzed Tweets from five cities, and extracted characteristic words. We collected text data of about 3 million Tweets in a year. On the other hand, since there are many words that are unrelated to the target area, we formulated rules and removed unnecessary Tweets. Furthermore, a hierarchical cluster analysis identified irrelevant clusters and removed them. The extracted words were subjected to correspondence analysis to identify the time of submission and the characteristics of the region to obtain the broad keywords of city planning.

Journal

• PROCEEDINGS OF THE ANNUAL CONFERENCE OF JSSD

  PROCEEDINGS OF THE ANNUAL CONFERENCE OF JSSD 67 (0), 154-, 2020

  Japanese Society for the Science of Design

Keywords

• Twitter
• Text Mining
• City Planning

Details

• CRID: 1390566775161457920
• NII Article ID: 130007891417
• DOI: 10.11247/jssd.67.0_154
• Text Lang: ja
• Data Source:
  • JaLC
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed