Deep learning-based hybrid sentiment analysis with feature selection using optimization algorithm
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/s11042-023-14767-6.pdf
Reference62 articles.
1. Alarifi A, Tolba A, Al-Makhadmeh Z, Said W (2018) A big data approach to sentiment analysis using greedy feature selection with cat swarm optimization-based long short-term memory neural networks. J Supercomput 76:4414–4429. https://doi.org/10.1007/s11227-018-2398-2
2. Boiy E, Moens M -F (2008) A machine learning approach to sentiment analysis in multilingual Web texts. Inf Retr 12(5):526–558. https://doi.org/10.1007/s10791-008-9070-z
3. Bojanowski P, Grave E, Joulin A, Mikolov T (2017) En-riching word vectors with subword information. Transactions of the Association for Computational Linguistics 5:135–146. https://doi.org/10.1162/tacl-a-00051
4. Borg A, Boldt M (2020) Using VADER sentiment and SVM for predicting customer response sentiment. Expert Syst Appl 162:113746. https://doi.org/10.1016/j.eswa.2020.113746
5. Cahyadi A, Khodra ML (2018) Aspect-based sentiment analysis using convolutional neural network and bidirectional long short-term memory. In: 2018 5th international conference on advanced informatics: concept theoryand applications (ICAICTA), pp 124–129. https://doi.org/10.1109/ICAICTA.2018.8541300
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