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COVID-19 Sentiment Analysis Dashboard on Tweets and Trending Hashtags

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 opin...

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Main Author: Azman, Azizul Qusyairin
Format: Final Year Project
Language:English
Published: 2021
Subjects:
T Technology (General)
Online Access:http://utpedia.utp.edu.my/id/eprint/24089/1/COVID-19%20Sentiment%20Analysis%20Dashboard%20on%20Tweets%20and%20Trending%20Hashtags.pdf
http://utpedia.utp.edu.my/id/eprint/24089/
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record_format eprints
spelling oai:utpedia.utp.edu.my:240892023-03-15T02:47:06Z http://utpedia.utp.edu.my/id/eprint/24089/ COVID-19 Sentiment Analysis Dashboard on Tweets and Trending Hashtags Azman, Azizul Qusyairin T Technology (General) 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. 2021-09 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/24089/1/COVID-19%20Sentiment%20Analysis%20Dashboard%20on%20Tweets%20and%20Trending%20Hashtags.pdf Azman, Azizul Qusyairin (2021) COVID-19 Sentiment Analysis Dashboard on Tweets and Trending Hashtags. [Final Year Project] (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Azman, Azizul Qusyairin
COVID-19 Sentiment Analysis Dashboard on Tweets and Trending Hashtags
description 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.
format Final Year Project
author Azman, Azizul Qusyairin
author_facet Azman, Azizul Qusyairin
author_sort Azman, Azizul Qusyairin
title COVID-19 Sentiment Analysis Dashboard on Tweets and Trending Hashtags
title_short COVID-19 Sentiment Analysis Dashboard on Tweets and Trending Hashtags
title_full COVID-19 Sentiment Analysis Dashboard on Tweets and Trending Hashtags
title_fullStr COVID-19 Sentiment Analysis Dashboard on Tweets and Trending Hashtags
title_full_unstemmed COVID-19 Sentiment Analysis Dashboard on Tweets and Trending Hashtags
title_sort covid-19 sentiment analysis dashboard on tweets and trending hashtags
publishDate 2021
url http://utpedia.utp.edu.my/id/eprint/24089/1/COVID-19%20Sentiment%20Analysis%20Dashboard%20on%20Tweets%20and%20Trending%20Hashtags.pdf
http://utpedia.utp.edu.my/id/eprint/24089/
_version_ 1761620916477886464
score 13.222552

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