Information Gain Based Feature Selection for Improved Textual Sentiment Analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-022-09597-y.pdf
Reference32 articles.
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3. Kowshalya, A. M., Madhumathi, R., & Gopika, N. (2019). Correlation based feature selection algorithms for varying datasets of different dimensionality. Wireless Personal Communications, 108(5), 1977–1993. https://doi.org/10.1007/s11277-019-06504-w
4. Kowshalya, A. M., & Valarmathi, M. L. (2018). Evaluating twitter data to discover user’s perception about social Internet of Things. Wireless Personal Communications, 101(2), 649–659. https://doi.org/10.1007/s11277-018-5709-2
5. Drus, Z., & Khalid, H. (2019). Sentiment analysis in social media and Its application: Systematic literature review. Procedia Computer Science, 161, 707–714. https://doi.org/10.1016/j.procs.2019.11.174
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