On the importance of pre-processing in small-scale analyses of twitter: a case study of the 2019 Indian general election
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16158-3.pdf
Reference78 articles.
1. Abdullah M, AlMasawa M, Makki I et al (2020) Emotions extraction from Arabic tweets. Int J Comput Appl 42:661–675. https://doi.org/10.1080/1206212X.2018.1482395
2. Agarwal A, Toshniwal D, Bedi J (2020) Can twitter help to predict outcome of 2019 Indian general election: a deep learning based study. In: Communications in Computer and Information Science. pp. 38–53
3. Al Hamoud A, Alwehaibi A, Roy K, Bikdash M (2018) Classifying political tweets using naïve bayes and support vector machines. In: Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics). Springer International Publishing, pp. 736–744
4. Alam S, Yao N (2019) The impact of preprocessing steps on the accuracy of machine learning algorithms in sentiment analysis. Comput Math Org Theory 25:319–335. https://doi.org/10.1007/s10588-018-9266-8
5. Ali H, Farman H, Yar H et al (2022) Deep learning-based election results prediction using twitter activity. Soft Comput 26:7535–7543. https://doi.org/10.1007/s00500-021-06569-5
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