Feature selection based on particle swarm optimization algorithm for sentiment analysis classification

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Feature selection based on particle swarm optimization algorithm for sentiment analysis classification

Online media serve as a potential secondary data source for studies on sentiment analysis. The current conditions of the data sources are very different, and it offers a variety of writing systems. Therefore, the results of accuracy in sentiment analysis are very important. An improved approach was...

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Bibliographic Details
Main Authors:	Nurcahyawati, Vivine, Mustaffa, Zuriani
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2021
Subjects:	QA76 Computer software TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/36779/ http://umpir.ump.edu.my/id/eprint/36779/1/Feature%20Selection%20based%20on%20Particle%20Swarm%20Optimization_FULL.pdf http://umpir.ump.edu.my/id/eprint/36779/2/Feature%20selection%20based%20on%20particle%20swarm%20optimization%20.pdf

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