Optimization of Accuracy of Tweets for Coronavirus Pandemic Using BERT-Based CNN Model

Author:

Kumar Abhishek,Gupta Neetesh Kumar

Publisher

Springer Nature Singapore

Reference18 articles.

1. Zhang X, Saleh H, Younis EMG, Sahal R, Ali AA (2020) Predicting coronavirus pandemic in real-time using machine learning and big data streaming system. Hindawi 20(6):01–10

2. Samuel J, Ali GGMNN, Rahman MM, Esawi E, Samuel Y (2020) Covid-19 public sentiment insights and machine learning for tweets classification. Information 11(6):314–321

3. Ali R, Bharathi A, Saritha K (2020) COVID-19 outbreak: tweet based analysis and visualization towards the influence of coronavirus in the world. Gedrag en Organisatie 33(2):192–199

4. Wang H, Wang Z, Dong Y (2020) Phase-adjusted estimation of the number of coronavirus disease 2019 cases in Wuhan China. Cell Discovery 6(1):1–8

5. Barkur G, Vibha GBK (2020) Sentiment analysis of nationwide lockdown due to COVID 19 outbreak: evidence from India. Asian J Psychiatr 51(4):01–04

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