Sentiment Analysis on COVID-19 Twitter Data

Autor: Balan Dhanka, Purnendu Karmakar, Tanmay Vijay, Ayan Chawla
Rok vydání: 2020
Předmět:
Zdroj: 2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE).
DOI: 10.1109/icraie51050.2020.9358301
Popis: Corona Virus or COVID-19 first appeared in December, 2019 in Wuhan, China. People tweeted aggressively on twitter at that time. This paper analysed the tweets regarding COVID-19 from November, 2019 to May, 2020 in India and its affect. All tweets are categorized into 3 categories(Positive, Negative and Neutral). Multiple datasets are created State-wise, Month-wise, combined of all states to analyze the people's reactions towards Lockdown in June, 2020 and about everything related to COVID-19. Most people started having Negative tweets but with increasing time people shifted towards positive and neutral comments. In April, 2020 most comments were Positive and about winning against Corona virus.
Databáze: OpenAIRE