Visualizing the reputation of Malaysian communication service providers through twitter sentiment analysis using naïve bayes / Aidil Amirul Safwan Abdullah Sani

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Visualizing the reputation of Malaysian communication service providers through twitter sentiment analysis using naïve bayes / Aidil Amirul Safwan Abdullah Sani

A text classifier model optimized for short snippets like tweets is developed to make bilingual sentiment analysis possible. The two languages explored are Bahasa Malaysia and English, since they are the two most commonly spoken languages in Malaysia. The classifier model is trained and tested on a...

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Bibliographic Details
Main Author:	Abdullah Sani, Aidil Amirul Safwan
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Social groups. Group dynamics Twitter Communication. Mass media
Online Access:	https://ir.uitm.edu.my/id/eprint/31488/

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