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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2021
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| Subjects: | |
| Online Access: | 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 |