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

  • Dinda Ayu Muthia Universitas Bina Sarana Informatika, Jakarta, Indonesia
DOI: https://doi.org/10.33480/pilar.v16i1.1306
Keywords: Naïve Bayes, Sentiment Analysis, Twitter

Abstract

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%.

Downloads

Download data is not yet available.

Author Biography

Dinda Ayu Muthia, Universitas Bina Sarana Informatika, Jakarta, Indonesia

Lecturer in the Information Systems study program

References

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

Published
2020-03-31
How to Cite
Muthia, D. (2020). SENTIMENT ANALYSIS ON CLOSURE OF ILLEGAL MOVIE STREAMING SITES USING NAÏVE BAYES ALGORITHM. Jurnal Pilar Nusa Mandiri, 16(1), 123-128. https://doi.org/10.33480/pilar.v16i1.1306
Issue
Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Period for March 2020
Section
Articles

Copyright (c) 2020 Dinda Ayu Muthia

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

An author who publishes in the Pilar Nusa Mandiri: Journal of Computing and Information System agrees to the following terms:

  1. Author retains the copyright and grants the journal the right of first publication of the work simultaneously licensed under the Creative Commons Attribution-NonCommercial 4.0 License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal
  2. Author is able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book) with the acknowledgement of its initial publication in this journal.
  3. Author is permitted and encouraged to post his/her work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of the published work (See The Effect of Open Access).
    Read more about the Creative Commons Attribution-NonCommercial 4.0 Licence here: https://creativecommons.org/licenses/by-nc/4.0/.