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This Author published in this journals
All Journal Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science Jurnal Bumigora Information Technology (BITe)
Alam, Sirojul
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

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The performance of Naïve Bayes, support vector machine, and logistic regression on Indonesia immigration sentiment analysis Assiroj, Priati; Kurnia, Asep; Alam, Sirojul
Bulletin of Electrical Engineering and Informatics Vol 12, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i6.5688

Abstract

In recent years various attempts have been made to automatically mine opinions and sentiments from natural language in online networking messages, news, and product review businesses. Sentiment analysis is needed as an effort to improve service performance in the organization. In this paper, we have explored the polarization of positive and negative sentiments using Twitter user reviews. Sentiment analysis is carried out using the Naïve Bayes (NB), support vector machine (SVM), and logistic regression (LR) model then compares the results of these three models. The results of the experiment showed that the accuracy of LR was better than SVM and NB, namely 77%, 76%, and 70%.
Co-Authors Abdul Jabar, Jaka Abdurrachman, Fauzi Assiroj, Priati Kurnia, Asep Rimbawa, H.A Danang Suharjo, Bambang Warnars, Harco Leslie Hendric Spits