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1
COVID EmotionNet: A Machine Learning Approach to Unraveling..:
, In:
2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)
,
Hossain, Md. Akbar
;
Rahman, Ashifur
;
Fazle Rabbi, M. M.
- p. 505-510 , 2024
Link:
https://doi.org/10.1109/ICEEICT62016.2024.10534477
RT T1
2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)
: T1
COVID EmotionNet: A Machine Learning Approach to Unraveling Pandemic Sentiments
UL https://suche.suub.uni-bremen.de/peid=ieee-10534477&Exemplar=1&LAN=DE A1 Hossain, Md. Akbar A1 Rahman, Ashifur A1 Fazle Rabbi, M. M. YR 2024 SN 2769-5700 K1 COVID-19 K1 Support vector machines K1 Logistic regression K1 Emotion recognition K1 Social networking (online) K1 Pandemics K1 Stacking K1 Sentiment Analysis K1 Machine Learning K1 Ensemble Method K1 TFIDF K1 Word2Vec SP 505 OP 510 LK http://dx.doi.org/https://doi.org/10.1109/ICEEICT62016.2024.10534477 DO https://doi.org/10.1109/ICEEICT62016.2024.10534477 SF ELIB - SuUB Bremen
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