HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Societies >
フロンティア農業経済研究 = The Frontiers of Agricultural Economics >
第20巻第2号 >


Files in This Item:
20-2_124-shirai(text).pdf1.23 MBPDFView/Open
Please use this identifier to cite or link to this item:

Title: テキストマイニングによる自治体が取り組む先進地視察の支援
Other Titles: Text Mining for Supporting Planning of Inspection Tours by Municipalities
Authors: 白井, 康裕1 Browse this author
日向, 貴久2 Browse this author
山田, 洋文3 Browse this author
西村, 直樹4 Browse this author
Authors(alt): SHIRAI, Yasuhiro1
HINATA, Takahisa2
YAMADA, Hirofumi3
Issue Date: 31-Mar-2018
Publisher: 北海道農業経済学会
Journal Title: フロンティア農業経済研究
Volume: 20
Issue: 2
Start Page: 124
End Page: 131
Abstract: The purpose of this paper is to examine methods to support the planning of inspection tours by municipalities. Text mining analysis on reasons of awarded cases in a Nourinsuisansai contest was adopted to extract keywords. Then, correspondence analysis was used to understand the tendencies which played a role in the prize-winning. Interpretive structural modeling analysis (ISM) for documentary information was used to visualize the activities of the prize-winning case. We confirmed that correspondence analysis is able to find common keywords and specific keywords for each time period. Further, we also established that ISM is helpful to identify an innovative activity which encompasses the lowest frequencies of keywords. We conclude that an approach combining simple methods, details of which we suggest, creates new information which is useful for planning tours by municipalities.
Type: article
Appears in Collections:フロンティア農業経済研究 = The Frontiers of Agricultural Economics > 第20巻第2号

Export metadata:

OAI-PMH ( junii2 , jpcoar_1.0 )

MathJax is now OFF:


 - Hokkaido University