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DJPS

Diyala Journal for Pure Science

Scientific Refereed Journal Published By College of Science - University of Diyala

 

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djps.16.01.514B

Diyala Journal for Pure Science DJPS

P- ISSN:2222-8373, E-ISSN:2518-9255

Volume 16, Issue 1 , January  2020

 

 

 

Sentiment Analysis for Movie Reviews Based on Four Machine Learning Techniques

 

Hanaa Mohsin Ahmed and Hanan Rabeea Jaber

 

Year: 2020, Volume: 16, Issue: 1

 

Pages: 69-87 , DOI: https://dx.doi.org/10.24237/djps.16.01.514B 

 

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Abstract


 

The spread of Internet and social media led to be sentiment analysis an open research area. Social media is used so the people can be state their opinions and attitudes on blogs, Tweets, and forums. Sentiment analysis deals with identifying and extracting people's opinions and attitudes from texts on the internet. The classification of the text which is based upon sentiment is differ from topical text classification because it has recognition based on an opinion on a topic. This research studying the ability to apply TF-IDF feature selection approach for sentiment analysis and examines the performance for classification by 4 machine learning methods (naïve Bayes, KNN, J48, and logistic regression) with regard to recall, precision and F1-measure. This research included a comparison between the selected ML methods. The results show the naïve Bayes over performed on other classification methods with precision about 94.0%.

 

Keywords: sentiment analysis, movie review dataset, naïve Bayes, J48, k-nearest neighbor, logistic regression.

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