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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| Format: | Final Year Project |
| Language: | English |
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2021
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| 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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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 |
13.214268 |