Sentiment Analysis on Bengali Facebook Comments To Predict Fan's Emotions Towards a Celebrity

Authors

  • Md. Serajus Salekin Khan Department of Computer Science and Engineering, East West University, Dhaka, Bangladesh
  • Sanjida Reza Rafa Department of Computer Science and Engineering, East West University, Dhaka, Bangladesh
  • Al Ekram Hossain Abir Department of Computer Science and Engineering, East West University, Dhaka, Bangladesh
  • Amit Kumar Das Department of Computer Science and Engineering, East West University, Dhaka, Bangladesh

DOI:

https://doi.org/10.38032/jea.2021.03.001

Keywords:

Sentiment Analysis, Celebrities, Mechine Learning, tf-idf, SVM, Emotion

Abstract

In this present era, sentiment analysis is considered as one of the most rapidly growing fields of computer science study. It is a text mining technique which is automated and determines the emotion of a text. A text can be divided into many emotions using sentiment analysis. Since there are some studies on emotion analysis in the Bangla language, it is regarded as a key research area in the field of analyzing Bangla language. This paper works with five different emotions and those are Happy, Sad, Angry, Surprise and Excited. Apart from these emotions our paper also deals with two categories, such as Abusive and Religious. We proposed a method of machine learning technique which is the SVM algorithm to extract these five individual emotions from Bangla text.

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Published

23-07-2021
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How to Cite

Khan, M. S. S., Rafa, S. R., Abir, A. E. H., & Das, A. K. (2021). Sentiment Analysis on Bengali Facebook Comments To Predict Fan’s Emotions Towards a Celebrity. Journal of Engineering Advancements, 2(03), 118–124. https://doi.org/10.38032/jea.2021.03.001

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Section

Research Articles