Author:
Saripilli Prashanth,Aruna Kumari G. L.,Vannemreddy Chandra Sekhar,Shaik Kaleelulla,Madishetty Saiteja
Publisher
Springer Nature Switzerland
Reference13 articles.
1. K.-K. Tseng et al., Price prediction of e-commerce products through internet sentiment analysis. Electron. Commer. Res. 18, 65–88 (2018)
2. S. Schmidt et al., Polarity-based sentiment analysis of georeferenced tweets related to the 2022 twitter acquisition. Information 14(2), 71 (2023)
3. N. Braig, A. Benz, S. Voth, J. Breitenbach, R. Buettner, Machine learning techniques for sentiment analysis of COVID-19-related twitter data. IEEE Access 11, 14778–14803 (2023). https://doi.org/10.1109/ACCESS.2023.3242234
4. S. Barreto et al., Sentiment analysis in tweets: An assessment study from classical to modern text representation models. arXiv preprint arXiv:2105.14373 (2021)
5. C.P. Selvi, R. Pushpa Laksmi, SA-MSVM: Hybrid heuristic algorithm-based feature selection for sentiment analysis in twitter. Comput. Syst. Sci. Eng. 44(3), 2439–2456 (2023)