Research on the Development of Urban Tourism Resources Based on Text Mining—Taking Chengdu as an Example

DOI

10.2991/assehr.k.200207.028How to use a DOI?

Keywords

tourism resources, Chengdu, content analysis, text mining

Abstract

In order to promote the development of Chengdu tourism resources, this paper based on text mining, using content analysis method to conduct qualitative research on the network evaluation text of Chengdu tourism. The ROST CM6 software is used to perform high-frequency word analysis, semantic network analysis and sentiment analysis on the text, and the visitors’ perception of Chengdu’ s tourist destination is obtained. Combined with the characteristics of tourism resources in Chengdu, the paper puts forward some suggestions for improving the development of tourism resources to promote the full utilization of tourism resources in Chengdu.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yulu Fan
AU  - Jinchun Kou
PY  - 2020
DA  - 2020/02/17
TI  - Research on the Development of Urban Tourism Resources Based on Text Mining—Taking Chengdu as an Example
BT  - Proceedings of the International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2019)
PB  - Atlantis Press
SP  - 168
EP  - 174
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200207.028
DO  - 10.2991/assehr.k.200207.028
ID  - Fan2020
ER  -