Sentiment Analysis in the Sales Review of Indonesian Marketplace by Utilizing Support Vector Machine
Downloads
Indonesia Internet Service Provider Association (APJII), "Penetrasi dan Perilaku Pengguna Internet Indonesia,” 2016. [Online]. Available: https://apjii.or.id/content/read/39/264/Survei-Internet-APJII-2016. [Accessed: 07-Aug-2017].
D. V. N. Devi, C. K. Kumar, and S. Prasad, "A Feature Based Approach for Sentiment Analysis by Using Support Vector Machine,” in 6th International Conference on Advanced Computing, 2016, pp. 3–8.
C. Fiarni, H. Maharani, and R. Pratama, "Sentiment Analysis System for Indonesia Online Retail Shop Review Using Hierarchy Naive Bayes Technique,” in International Conference on Information and Communication Technologies (ICoICT), 2016, vol. 4.
I. P. Windasari, F. N. Uzzi, and K. I. Satoto, "Sentiment Analysis on Twitter Posts : An analysis of Positive or Negative Opinion on GoJek,” in Proc. of 2017 4th Int. Conf. on Information Tech., Computer, and Electrical Engineering (ICITACEE), 2017, pp. 266–269.
M. H. Saragih and A. S. Girsang, "Sentiment Analysis of Customer Engagement on Social Media in Transport Online,” in International Conference on Sustainable Information Engineering and Technology (SIET), 2017, pp. 24–29.
D. A. Muthia, "Analisis Sentimen Pada Review Restoran dengan Teks Bahasa Indonesia Menggunakan Algoritma Naive Bayes,” J. Ilmu Pengetah. dan Teknol. Komput., vol. 2, No.2, pp. 39–45, 2017.
I. P. Windasari and D. Eridani, "Sentiment Analysis on Travel Destination in Indonesia,” in Proc. of 2017 4th Int. Conf. on Information Tech., Computer, and Electrical Engineering (ICITACEE), 2017, pp. 276–279.
M. A. Sghaier and M. Zrigui, "Sentiment Analysis for Arabic e-commerce websites,” in 2016 International Conference on Engineering & MIS (ICEMIS), 2016, pp. 1–7.
V. R. Prasetyo, "Penggolongan Program Sinetron Berdasarkan Opini Masyarakat di Twitter Dengan Cosine Similarity,” Thesis, Department of Computer Science and Electronics Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, 2016.
A. Guo and T. Yang, "Research and improvement of feature words weight based on TFIDF algorithm,” in 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, 2016, pp. 415–419.
F. Pedregosa et.al., "Scikit-learn: Machine Learning in Python,” J. Mach. Learn. Res., vol. 12, pp. 2825–2830, 2011.
B. Santosa, Data Mining: Teknik Pemanfaatan Basis Data untuk Keperluan Bisnis, 1st ed. Yogyakarta: Graha Ilmu, 2007.
J. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques, 3rd ed. San Francisco: Morgan Kaufmann Publishers Inc., 2011.
H. Zhang, W. Gan, and B. Jiang, "Machine Learning and Lexicon based Methods for Sentiment Classification : A Survey,” in Web Information System and Application Conference Machine, 2014, pp. 262–265.
S. Rana and A. Singh, "Comparative Analysis of Sentiment Orientation Using SVM and Naí¯ve Bayes Techniques,” in International Conference on Next Generation Computing Technologies, 2016, pp. 106–111.
Authors who publish with this journal agree to the following terms:
All accepted papers will be published under a Creative Commons Attribution 4.0 International (CC BY 4.0) License. Authors retain copyright and grant the journal right of first publication. CC-BY Licenced means lets others to Share (copy and redistribute the material in any medium or format) and Adapt (remix, transform, and build upon the material for any purpose, even commercially).
