Sentiment Analysis-Reference-Cited by-同舟云学术

Sentiment Analysis

Published:2022 Issue: Volume: Page:363-374
ISSN:2366-2611
Container-title:Applied Data Science in Tourism
language:
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Author:

Kirilenko Andrei P.,Wang Luyu,Stepchenkova Svetlana O.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-88389-8_17

Reference38 articles.

1. Alpaydin, E. (2020). Introduction to machine learning. MIT Press.

2. Alaei, A. R., Becken, S., & Stantic, B. (2019). Sentiment analysis in tourism: Capitalizing on big data. Journal of Travel Research, 58(2), 175–191.

3. Al-Shabi, M. A. (2020). Evaluating the performance of the most important lexicons used to sentiment analysis and opinions mining. IJCSNS, 20(1), 1.

4. Baccianella, S., Esuli, A., & Sebastiani, F. (2010, May). Sentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. In Lrec (Vol. 10, no. 2010, pp. 2200–2204).

5. Bakshi, R. K., Kaur, N., Kaur, R., & Kaur, G. (2016, March). Opinion mining and sentiment analysis. In 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 452–455). IEEE.

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