SENTIMENT ANALYSIS ON CLOSURE OF ILLEGAL MOVIE STREAMING SITES USING NAÏVE BAYES ALGORITHM
Analisis Sentimen Tentang Penutupan Situs Streaming Film Ilegal Menggunakan Algoritma Naïve Bayes
The closure of illegal movie streaming sites IndoXXI has been a trending topic on Twitter at the end of 2019. The reaction of netizens on Twitter shows positive and negative sentiments. Until now, there have been many studies in the field of Sentiment Analysis using data in the form of Tweets from Twitter users. In sentiment analysis research, there are so many method used, and Naïve Bayes is one of it, because it is very simple and efficient. The method has advantages and disadvantages. Naïve Bayes is so sensitive in feature selection. Too many features not only increase calculation time but also reduce classification accuracy. In order to solve the disadvantages and increase the performance of the Naïve Bayes classifier, this method often being combined with many kind of feature selection methods. This research aims to classify tweets into positive and negative using the Naïve Bayes classifier combined with the Genetic Algorithm. The accuracy of Naïve Bayes before using the combination of feature selection methods reaches 79.55%. While after using feature selection methods, which is the Genetic Algorithm, accuracy increased up to 88.64%. The accuracy improved by up to 9.09%.
He, W., Zha, S., & Li, L. (2013). Social media competitive analysis and text mining: A case study in the pizza industry. International Journal of Information Management, 33(3), 464–472. https://doi.org/10.1016/j.ijinfomgt.2013.01.001
Kumar, A., & Sebastian, T. M. (2012). Sentiment Analysis on Twitter. IJCSI International Journal of Computer Science, 9(4), 372–378
Mostafa, M. M. (2013). More than words: Social networks’ text mining for consumer brand sentiments. Expert Systems with Applications, 40(10), 4241–4251. https://doi.org/10.1016/j.eswa.2013.01.019
Muthia, D. A. (2014a). Analisis Sentimen Pada Review Buku Menggunakan Algoritma Naive Bayes. Jurnal Paradigma, XVI(1), 1–9.
Muthia, D. A. (2014b). Sentiment Analysis of Hotel Review Using Naive Bayes Algorithm and Integration of Information Gain And Genetic Algorithm as Feature Selection Methods, 25–30.
Muthia, D. A. (2020). Laporan Akhir Penelitian: Sentiment Analysis Of Twitter On Closure Of Illegal Movie Streaming Sites.
Passonneau, R. (2011). Sentiment Analysis of Twitter Data. Proceedings Ofthe Workshop on Language in Social Media, (June), 30–38.
Ramadhani, Y. (2019). IndoXXI akan Tutup 1 Januari 2020 & Penyebabnya dari Kominfo. Retrieved May 7, 2020, from https://tirto.id/indoxxi-akan-tutup-1-januari-2020-penyebabnya-dari-kominfo-eoGz
Samad, A., Basari, H., Hussin, B., Pramudya, I. G., & Zeniarja, J. (2013). Opinion Mining of Movie Review using Hybrid Method of Support Vector Machine and Particle Swarm Optimization. Procedia Engineering, 53, 453–462. https://doi.org/10.1016/j.proeng.2013.02.059
Uysal, A. K., & Gunal, S. (2012). A novel probabilistic feature selection method for text classification. Knowledge-Based Systems, 36, 226–235. https://doi.org/10.1016/j.knosys.2012.06.005
Abstract viewed = 77 times
PDF downloaded = 71 times
Copyright (c) 2020 Dinda Ayu Muthia
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to the PILAR Nusa Mandiri journal as the publisher of the journal, and the author also holds the copyright without restriction.
Copyright encompasses exclusive rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations. The reproduction of any part of this journal, its storage in databases, and its transmission by any form or media, such as electronic, electrostatic and mechanical copies, photocopies, recordings, magnetic media, etc. , are allowed with written permission from the PILAR Nusa Mandiri journal.
PILAR Nusa Mandiri journal, the Editors and the Advisory International Editorial Board make every effort to ensure that no wrong or misleading data, opinions, or statements be published in the journal. In any way, the contents of the articles and advertisements published in the PILAR Nusa Mandiri journal are the sole and exclusive responsibility of their respective authors and advertisers.