An Application of Sentiment Analysis to Analyze the Performance of Players on Endorsed Brands Using Social Media
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3292-0_20
Reference11 articles.
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2. Barid M, Hossain S, Rahman MM, Hasan MM (2021) Sentiment analysis applying the big 5 and polarity on the ICC’s top ODI all-rounders based on Twitter. In: 2021 24th International conference on computer and information technology (ICCIT), pp 1-5. https://doi.org/10.1109/ICCIT54785.2021.9689797
3. Faruque MAK, Rahman S, Chakraborty P, Choudhury T, Um JS, Singh TP (2021) Ascertaining polarity of public opinions on Bangladesh cricket using machine learning techniques. Spat Inf Res:1–8
4. Khatua A, Khatua A (2017) Cricket world cup 2015: predicting user’s orientation through mix tweets on Twitter platform. In: Proceedings of the 2017 IEEE/ACM international conference on advances in social networks analysis and mining, pp 948–951. https://doi.org/10.1145/3110025.3123025
5. Mittal A, Goel A (2012) Stock prediction using twitter sentiment analysis. In: Standford University, CS229 15, p 2352
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