Automatically extracting tourism-related opinion from Chinese social media-Reference-Cited by-同舟云学术

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Automatically extracting tourism-related opinion from Chinese social media

Published:2016-01-20 Issue:10 Volume:20 Page:1070-1087
ISSN:1368-3500
Container-title:Current Issues in Tourism
language:en
Short-container-title:Current Issues in Tourism

Author:

Chen Fang-Wei¹^ORCID,Guevara Plaza Antonio²,Alarcón Urbistondo Pilar³

Affiliation:

1. Andalucía Tech, Facultad de Turismo, Universidad de Málaga, Campus de Teatinos s/n, Málaga 29071, Spain

2. Andalucía Tech, Departamento de Lenguaje y Ciencias de la Computación, Universidad de Málaga, Campus de Teatinos s/n, Málaga 29071, Spain

3. Andalucía Tech, Departamento de Economía y Administración de Empresa, Universidad de Málaga, Campus de Teatinos s/n, Málaga 29071, Spain

Publisher

Informa UK Limited

Subject

Tourism, Leisure and Hospitality Management,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/13683500.2015.1132196

Reference23 articles.

1. Online Tourism Communities on the Path to Web 2.0: An Evaluation

2. Big data analytics for knowledge generation in tourism destinations – A case from Sweden

3. User-generated Destination Image through Weblogs: A Comparison of Pre- and Post-visit Images

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1. Using geotagged facial expressions to visualize and characterize different demographic groups’ emotion in theme parks;Scientific Reports;2024-09-09

2. Fusing multi-source social media data and street view imagery to inform urban space quality: a study of user perceptions at Kampong Glam and Haji Lane;Urban Informatics;2024-06-18

3. Exploring the pivotal role of community engagement on tourists’ behaviors in social media: A cross-national study;International Journal of Information Management;2024-02

4. Artificial Intelligence as Catalyst for the Tourism Sector: A Literature Review;JUCS - Journal of Universal Computer Science;2023-12-28

5. Online versus offline tourism emotion: uncovering the bias pattern in online tourism emotion within theme parks;Asia Pacific Journal of Tourism Research;2023-12-27

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