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Twitter Sentiment analysis of covid vaccines
5th International Conference on Artificial Intelligence and Virtual Reality, AIVR 2021 ; : 118-122, 2021.
Article in English | Scopus | ID: covidwho-1528581
ABSTRACT
In this paper, we look at a database of tweets sorted by various keywords that could indicate the users' sentiment towards covid vaccines. With social media becoming such a prevalent source of opinion, sorting and ranking tweets that hold important information such as opinions on covid vaccines is of utmost importance. Two different ranking scales were used, and ranking a tweet in this way could represent the difference between an opinion being lost and an opinion being featured on the site, which affects the decisions and behavior of people, and why researchers were interested in it. Using natural language processing techniques, our aim is to determine and categorize opinions about covid vaccines with the highest accuracy possible. © 2021 ACM.

Full text: Available Collection: Databases of international organizations Database: Scopus Topics: Vaccines Language: English Journal: 5th International Conference on Artificial Intelligence and Virtual Reality, AIVR 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Topics: Vaccines Language: English Journal: 5th International Conference on Artificial Intelligence and Virtual Reality, AIVR 2021 Year: 2021 Document Type: Article