Preprocess the Text Based Customer Review Data for Sentiment Analysis
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64779-6_20
Reference23 articles.
1. Dey, S., Wasif, S., Tonmoy, D.S., Sultana, S., Sarkar, J., Dey, M.: A comparative study of support vector machine and Naive Bayes classifier for sentiment analysis on Amazon product reviews. In: IEEE International Conference on Contemporary Computing and Applications, pp. 217–220 (2020)
2. Alzahrani, M.E., Aldhyani, T.H., Alsubari, S.N., Althobaiti, M.M., Fahad, A.: Developing an intelligent system with deep learning algorithms for sentiment analysis of e-commerce product reviews. Comput. Intell. Neurosci. 2022, 3840071 (2022)
3. Indhuja, K., Raj, P.C.R.: Fuzzy logic based sentiment analysis of product review documents. In: IEEE First International Conference on Computational Systems and Communications (ICCSC), pp. 18–22 (2014)
4. Dadhich, A., Thankachan, B.:Sentiment analysis of amazon product reviews using hybrid rule-based approach. In: Innovations in Computing: Proceedings of SSIC 2021, pp. 173–193 (2022)
5. Zad, S., Heidari, M., Jones, J.H., Uzuner, O.:A survey on concept-level sentiment analysis techniques of textual data. In: IEEE, World AI IoT Congress (AIIoT), pp. 0285–0291 (2021)
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