Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Reference70 articles.
1. Abdulaziz M, Alotaibi A, Alsolamy M, Alabbas A (2021) Topic based sentiment analysis for COVID-19 tweets. Int J Adv Comput Sci Appl 12(1):626–636. https://doi.org/10.14569/IJACSA.2021.0120172
2. Agarwal A, Xie B, Vovsha I, Rambow O, Passonneau R (2011) Sentiment analysis of twitter data. In: Proceedings of the workshop on language in social media (LSM 2011). Association for Computational Linguistics, Portland, Oregon, pp 30–38
3. Agarwal B, Mittal N, Agarwal B, Mittal N (2016) Machine learning approach for sentiment analysis. In: Prominent feature extraction for sentiment analysis. Springer, pp 21–45
4. Alamoodi A, Baker MR, Albahri O, Zaidan B, Zaidan A, Wong W-K et al (2022) Public sentiment analysis and topic modeling regarding Covid-19’s three waves of total lockdown: a case study on movement control order in malaysia. KSII Trans Internet Inf Syst 16(7):2169–2190. https://doi.org/10.3837/tiis.2022.07.003
5. Aliguliyev RM, Iskandarli GY (2022) Measuring citizen satisfaction with e-government services by using sentiment analysis technology. Int Electron Govern 14(4):479–489. https://doi.org/10.1504/IJEG.2022.129304
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