TSA-CNN-AOA: Twitter sentiment analysis using CNN optimized via arithmetic optimization algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08236-2.pdf
Reference69 articles.
1. WCOVID-19 Weekly Epidemiological Update Data as received by WHO from national authorities, as of 25 January 2022
2. Nasir A, Shah MA, Ashraf U, Khan A, Jeon G (2021) An intelligent framework to predict socio economic impacts of COVID-19 and public sentiments. Comput Electr Eng 96:107526
3. Nayak SR, Nayak DR, Sinha U, Arora V, Pachori RB (2021) Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: a comprehensive study. Biomed Signal Process Control 64:102365
4. Yadav M, Perumal M, Srinivas M (2020) Analysis on novel coronavirus (COVID-19) using machine learning methods. Chaos Solitons Fractals 139:110050
5. De Rosis S, Lopreite M, Puliga M, Vainieri M (2021) The early weeks of the Italian Covid-19 outbreak: sentiment insights from a Twitter analysis. Health Policy (Amsterdam, Netherlands)
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