Hotel selection driven by online textual reviews: Applying a semantic partitioned sentiment dictionary and evidence theory

Author:

Nie Ru-xin,Tian Zhang-peng,Wang Jian-qiang,Chin Kwai Sang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Strategy and Management,Tourism, Leisure and Hospitality Management

Reference78 articles.

1. Enhancing aspect-based sentiment analysis of Arabic hotels’ reviews using morphological, syntactic and semantic features;Al-Smadi;Inf. Process. Manage.,2019

2. Enhancing deep learning sentiment analysis with ensemble techniques in social applications;Araque;Expert Syst. Appl.,2017

3. Understanding satisfied and dissatisfied hotel customers: text mining of online hotel reviews;Berezina;J. Hosp. Mark. Manage.,2016

4. Meeting planners’ online reviews of destination hotels: a twofold content analysis approach;Boo;Tour. Manage.,2018

5. Sentiment classification of consumer-generated online reviews using topic modeling;Calheiros;J. Hosp. Mark. Manage.,2017

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