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Geo-spatial Information Science Volume 22, 2019 - Issue 3: Special Issue: Geocomputation for Social Sciences. Guest Editors: Jianya Gong, Luc Anselin, Xinyan Zhu, Shuming Bao and Yuanzheng Shao
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Articles

Exploring the characteristics of tourism industry by analyzing consumer review contents from social media: a case study of Bamako, Mali

Sanogo BrunoSchool of Geography and Information Engineering, China University of Geosciences, Wuhan, Hubei, China;Agence pour le Promotion Touristique du Mali (APTM), Hamdallaye, Bamako, MaliView further author information
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Chao YangSchool of Geography and Information Engineering, China University of Geosciences, Wuhan, Hubei, ChinaCorrespondence[email protected]
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Wenwen TianSchool of Geography and Information Engineering, China University of Geosciences, Wuhan, Hubei, ChinaView further author information
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Zhong XieSchool of Geography and Information Engineering, China University of Geosciences, Wuhan, Hubei, ChinaView further author information
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Yuanzheng ShaoCollaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, ChinaView further author information
Pages 214-222 | Received 25 Jan 2019, Accepted 21 May 2019, Published online: 18 Aug 2019

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Oliver Lock & Christopher Pettit. (2020) Social media as passive geo-participation in transportation planning – how effective are topic modeling & sentiment analysis in comparison with citizen surveys?. Geo-spatial Information Science 23:4, pages 275-292.
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Articles from other publishers (3)

Qin Zhang, Lujun Su, Ling Zhou & Yaling Dai. (2023) Distance Brings About Beauty: When Does the Influence of Positive Travel Online Reviews Grow Stronger Relative to Negative Reviews?. Journal of Travel Research.
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Jingbo Wang, Yu Xia & Yuting Wu. (2022) Sensing Tourist Distributions and Their Sentiment Variations Using Social Media: Evidence from 5A Scenic Areas in China. ISPRS International Journal of Geo-Information 11:9, pages 492.
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Dr. Samuel Manoharan & Prof. Sathish. (2020) Geospatial and Social Media Analytics for Emotion Analysis of Theme Park Visitors using Text Mining and GIS. Journal of Information Technology and Digital World 2:2, pages 100-107.
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