Aspect Level Sentiment Analysis using Machine Learning Approach: A Comprehensive Review

Authors

  • Jyoti Hanvat M.Tech Scholar, Department of CSE, Vaishnavi Institute of Technology and Science, Bhopal (M.P), India
  • Sumit Sharma Professor, Department of CSE, Vaishnavi Institute of Technology and Science, Bhopal (M.P), India

DOI:

https://doi.org/10.24113/ijosthe.v7i4.134

Keywords:

Lexicon-based approach, Sentiment analysis, Natural Language Processing, Machine Learning.

Abstract

Sentimental analysis is now used from product marketing specific to the detection of social behavior. Progress on Facebook, Twitter, Youtube and other microblogging and social networking sites has not only contributed to a change in social sites, but also to the way we use these sites and the way we do it. People are fundamentally changing their feelings and their points of view with the general public. In this paper a detailed study of different approaches for lexicon-based sentiment analysis are discussed. This paper also shows that efficiency of machine learning over traditional lexicon based sentiment analysis.

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Published

2020-08-28

How to Cite

Hanvat, J. ., & Sharma, S. . (2020). Aspect Level Sentiment Analysis using Machine Learning Approach: A Comprehensive Review. SMART MOVES JOURNAL IJOSTHE, 7(4), 21–24. https://doi.org/10.24113/ijosthe.v7i4.134

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Articles