Covid 19 Tweets Classification Using RNN in Deep Learning

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S. Kiruthika Devi, Aditya Upadhyay, Saket Dimri

Abstract

Covid at Ist termed Corona Virus of 2019, was articulated as a global pandemic by World Health Organzation on 11/03/2020. Phenomenal squeezing factors has pressurized  every nation to forge persuading necessities for administering the general population by looking over the case count , fittingly making use of open resources. Fast count of surprising cases all around has set fear of freedom for all, anexity and fear among people. This errand is to set up a Deep Learning computation fit for predicting tweets of different kinds of assessments, for instance, positive, negative, fair, incredibly antagonistic An assessment of the proposed and current estimations reveals that the accuracy assessment types gathering subject to RNN (Recurrent Neural Network) is higher than various estimations. It is expected that the accomplishment of the got results will augment if the RNN procedure is maintained by adding extra component extraction systems and request successfully feeling types on tweets.

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How to Cite
S. Kiruthika Devi, Aditya Upadhyay, Saket Dimri. (2021). Covid 19 Tweets Classification Using RNN in Deep Learning. Annals of the Romanian Society for Cell Biology, 5177–5185. Retrieved from https://www.annalsofrscb.ro/index.php/journal/article/view/6321
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