A Review on Recognition of Sentiment Analysis of Marathi Tweets using Machine Learning Concept

Authors

  • Renuka Ashokrao Naukarkar  M.Tech Schoar, Computer Science and Engineering , Department of Computer Engineering Bapurao Deshmukh College of Engineering, Sevagram, Wardha, Maharashtra, India
  • Dr. A. N. Thakare  Assistant Professor, Department of Computer Engineering, Department of Computer Engineering Bapurao Deshmukh College of Engineering, Sevagram, Wardha, Maharashtra, India

Keywords:

Machine Learning Algorithm, Sentiment Analysis, Marathi Tweets

Abstract

Sentiment Analysis of Marathi Tweet using Machine learning Concept is done in this paper. The tweets are classified into Positive, Negative and Neutral by using different concepts. It is difficult to predict Marathi tweet results from tweets in Marathi language. So, we used different tool to get tweets in Marathi tweet. Sentiment Analysis also shows the higher accuracy of Marathi Tweet data. The proposed work explain Sentimental Analysis of Marathi tweets, which have been classified into positive, negative and neutral using different machine learning algorithms like NB, SVM, RF,NLP, DT, etc and shows the higher accuracy of text data.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2021-03-30

Issue

Volume 8, Issue 2, November-December-2021

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

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

How to Cite

[1]
Renuka Ashokrao Naukarkar, Dr. A. N. Thakare "A Review on Recognition of Sentiment Analysis of Marathi Tweets using Machine Learning Concept " International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 8, Issue 2, pp.190-193, November-December-2021.