SENTIMENT ANALYSIS USING FEATURE SELECTION AND CLASSIFICATION ALGORITHMS

Authors

  • SHRUTI PANT Department of computer science and engineering, MPUAT University/College of technology and engineering, Udaipur, India,
  • KALPANA JAIN Assistant professor of CSE, College of technology and engineering, Udaipur

Keywords:

Sentiment Analysis,, Feature Selection, Classification, Naïve Bayes,

Abstract

Here we present a technique to compute the sentimentsof movie review dataset so that the overall performance of the model is optimised. This model is certain to train and test the model and find the performance constraints. We first pre-process the dataset followed by feature selection and then we will classify the features to investigate the performance. A textual movie review is important as it reveals strong and weak points of the movie plot and by doing the deeper analysis of a movie review one can tell if movie will meet the expectations of the reviewer.

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Published

2021-03-27

Issue

Vol. 4 No. 5 (2017): IJIERT

Section

Articles

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How to Cite

SHRUTI PANT, & KALPANA JAIN. (2021). SENTIMENT ANALYSIS USING FEATURE SELECTION AND CLASSIFICATION ALGORITHMS. International Journal of Innovations in Engineering Research and Technology, 4(5), 1-7. https://repo.ijiert.org/index.php/ijiert/article/view/1380