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Analysing the Twitter Sentiments in COVID-19 Using Machine ..:
, In:
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
,
Katarya, Rahul
;
Nath, G Amar
;
Singhal, Divit
. - p. 1-8 , 2022
Link:
https://doi.org/10.1109/ACCAI53970.2022.9752511
RT T1 <cTitle>2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)</cTitle>: T1 <Title>Analysing the Twitter Sentiments in COVID-19 Using Machine Learning Algorithms</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9752511&Exemplar=1&LAN=DE A1 Katarya, Rahul A1 Nath, G Amar A1 Singhal, Divit A1 Shukla, Aryaman YR 2022 K1 COVID-19 K1 Support vector machines K1 Machine learning algorithms K1 Social networking (online) K1 Blogs K1 Urban areas K1 Classification algorithms K1 Behaviour analysis K1 Pandemic K1 Polarity assessment K1 Sentiment Analysis K1 Text classification SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/ACCAI53970.2022.9752511 DO https://doi.org/10.1109/ACCAI53970.2022.9752511 SF ELIB - SuUB Bremen
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