COVID-19 Sentiment Analysis Dashboard on Tweets and Trending Hashtags

Azman, Azizul Qusyairin (2021) COVID-19 Sentiment Analysis Dashboard on Tweets and Trending Hashtags. [Final Year Project] (Submitted)

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Abstract

Coronavirus disease 2019 (COVID-19) outbreak in Malaysia sparks different sentiment on its vaccination program, government policies and the rising number of cases especially in Twitter platform. It is well-known that Twitter has become an increasingly popular social media platform in expressing opinions, sharing interest and discuss the latest news. Thus, sentiment analytics can examine and classify the views from Twitter users to different polarity and categorization.

Item Type: Final Year Project
Subjects: T Technology > T Technology (General)
Departments / MOR / COE: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Ms Nurul Aidayana Mohammad Noordin
Date Deposited: 25 Jan 2023 06:36
Last Modified: 15 Mar 2023 02:47
URI: http://utpedia.utp.edu.my/id/eprint/24089

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