PARTICLE SWARM OPTIMIZATION (PSO) APPROACH FOR FEATURE SELECTION IN SENTIMENT ANALYSIS FOR PROPAGANDA ISSUE /

This research represents the implementation of the PSO (Particle Swarm Optimization) (feature selection) performance in the propaganda domain for sentiment analysis. The effectiveness of the PSO algorithm is tested during the datasets from Kaggle concerning Donald Trump and Hillary Clinton;s tweets...

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Bibliographic Details

Main Author:	Muhammad Zakwan Muhamad Rodzi (Author)
Corporate Author:	Universiti Pertahanan Nasional Malaysia Centre for Graduate Stdudies
Format:	Thesis Book
Language:	English
Published:	Kuala Lumpur : Fakulti Pengajian Dan Pengurusan Pertahanan UPNM, 2022.
Series:	Tesis Thesis
Subjects:	Swarm intelligence Mathematical optimization
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