Emotion Analysis of COVID-19 dataset using CNN

Authors

  • Nagashree N School of Computer Science and Engineering, REVA University, Bengaluru, Karnataka
  • Kaushik K School of Computer Science and Engineering, REVA University, Bengaluru, Karnataka

Keywords:

COVID-19, Sentiment analysis, emotion analysis, CNN

Abstract

COVID-19 pandemic is creating a lot of issues in social media available to the comments by humans in the websites. The proposed work helps to have a survey over relation between the comments and suggests to government. Web crawler technology is used to extract emotion data from the public which is helpful in sentiment analysis. Using the technique of Natural Language processing, we have classified the words using tokenization and lemmatization algorithms. Further level analysis is done by different uses cases comparison of about 30 people. The result of word classification is given with performance parameters.

 

References

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Published

2022-12-01

How to Cite

N, N., & Kaushik K. (2022). Emotion Analysis of COVID-19 dataset using CNN. International Journal of Computational Learning & Intelligence, 1(2), 5–7. Retrieved from https://milestoneresearch.in/JOURNALS/index.php/IJCLI/article/view/39

Issue

Vol. 1 No. 2 (2022): October

Section

RESEARCH ARTICLES

License

Copyright (c) 2022 Nagashree N, Kaushik K

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

CC Attribution-NonCommercial-NoDerivatives 4.0