Enhancing Hotel Services Through Sentiment Analysis
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50300-9_24
Reference19 articles.
1. Ounacer, S., Mhamdi, D., Ardchir, S., Daif, A., & Azzouazi, M. (2023). Customer sentiment analysis in hotel reviews through natural language processing techniques. International Journal of Advanced Computer Science and Applications, 14(1), 569–579. https://doi.org/10.14569/IJACSA.2023.0140162
2. Khurana, D., Koli, A., Khatter, K., & Singh, S. (2023). Natural language processing: State of the art, current trends and challenges. Multimedia Tools and Applications, 82(3), 3713–3744. https://doi.org/10.1007/s11042-022-13428-4
3. Alaparthi, S., & Mishra, M. (2020). Bidirectional encoder representations from transformers (BERT): A sentiment analysis odyssey (No. 1, pp. 1–15). https://doi.org/10.17762/turcomat.v12i7.3055
4. Akhtar, N., Zubair, N., Kumar, A., & Ahmad, T. (2017). Aspect based sentiment oriented summarization of hotel reviews. Procedia Computer Science, 115(May 2020), 563–571. https://doi.org/10.1016/j.procs.2017.09.115
5. Sharad, D. A., Ashok, D. S., Dattatray, D. P., & Bhagwat, M. P. (2018). Sentiment analysis of hotel review. International Journal of Advanced Research in Computer and Communication Engineering, 7(11), 174–176. https://doi.org/10.17148/IJARCCE.2018.71139
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