Analysis of Chinese Tourists in Japan by Text Mining of a Hotel Portal Site

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Carreón, Elisa Claire Alemán;Nonaka, Hirofumi;Hiraoka, Toru

Description

With an increasingly large number of Chinese tourists in Japan, the hotel industry is in need of an affordable market research tool that does not rely on expensive and time consuming surveys or inter- views. Because this problem is real and relevant to the hotel industry in Japan, and otherwise completely unexplored in other studies, we have extracted a list of potential keywords from Chinese reviews of Japanese hotels in the hotel portal site Ctrip using a mathematical model to then use them in a sentiment analysis with a machine learning classifier. While most studies that use information collected from the internet use pre-existing data analysis tools, in our study we designed the mathematical model to have the highest possible performing results in classification, while also exploring on the potential business implications these may have.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.3

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

figshare

Assigned Domain

Subfield

Information Systems

Field

Computer Science

Domain

Physical Sciences

Confidence Score

47%

Source

Scholar Data Model

Keywords

170203 Knowledge Representation and Machine LearningFOS: Psychology

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00