Analisis Sentimen Berbasis Aspek pada Review Female Daily Menggunakan TF-IDF dan Naïve Bayes
Abstract
Keywords
Full Text:
PDFArticle Metrics
Abstract view : 4673 timesPDF - 3635 times
References
Mubarok, M. S., Adiwijaya, & Aldhi, M. D. (2017, August). Aspect-based Sentiment Analysis to Review Products Using Naïve Bayes. AIP Conference Proceedings. Vol. 1867, No. 1, p. 020060. AIP Publishing LLC.
Hu, M., & Liu, B. (2004, August). Mining and Summarizing Customer Reviews. Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, (pp. 168-177).
Gojali, S., & Khodra, M. L. (2016, August). Aspect Based Sentiment Analysis for Review Rating Prediction. 2016 International Conference On Advanced Informatics: Concepts, Theory And Application (ICAICTA) (pp. 1-6). IEEE.
Pugsee, P., Sombatsri, P., & Juntiwakul, R. (2017, May). Satisfactory analysis for cosmetic product review comments. Proceedings of the 2017 International Conference on Data Mining, Communications and Information Technology (pp. 1-6).
Kristiyanti, D. A. (2015). Analisis Sentimen Review Produk Kosmetik menggunakan Algoritma Support Vector Machine dan Particle Swarm Optimization sebagai Metode Seleksi Fitur. SNIT 2015, 1(1), 134-141.
Srividya, K., & Sowjanya, A. M. (2019). Aspect Based Sentiment Analysis using POS Tagging and TFIDF. International Journal of Engineering and Advanced Technology (IJEAT). Volume-8 Issue-6. Blue Eyes Intelligence Engineering & Sciences Publication.
Xhemali, D., Hindie, C. J., & Stone, R. G. (2009, September). Naïve Bayes vs. Decision Trees vs. Neural Networks in the Classification of Training Web Pages. International Journal of Computer Science Issues (IJCSI), Volume 4, Issue 1, pp. 16-23.
Dong, T., Shang, W., & Zhu, H. (2011). An Improved Algorithm of Bayesian Text Categorization. JSW, Volume 6. Issue 9, pp. 1837-1843.
Uysal, A. K., & Gunal, S. (2014). The Impact of Preprocessing on Text Classification. Information Processing and Management, Vol. 50, pp. 104-112.
Ye, J., Jing, X., & Li, J. (2017, September). Sentiment Analysis Using Modified LDA. International conference on signal and information processing, networking and computers (pp. 205-212). Springer, Singapore.
Yulietha, I. M., Faraby, S. A., & Adiwijaya. (2017). Klasifikasi Sentimen Review Film Menggunakan Algoritma Support Vector Machine Sentiment Classification of Movie Reviews Using Algorithm Support Vector Machine. eProceedings of Engineering, Volume 4. Issues 3.
Nugraha, M. (2014). Sentimen Analysis Review Film dengan menggunakan metode KNN. Bandung: Widyatama University.
Raschka, S. (2014). Naive bayes and Text Classification I - Introduction and Theory. arXiv preprint. Retrieved from https://arxiv.org/abs/1410.5329
Rennie, J. D., Shih, L., Teevan, J., & Karger, D. R. (2003). Tackling the poor assumptions of naive bayes text classifiers. In Proceedings of the 20th international conference on machine learning (ICML-03) (pp. 616-623).
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., & Duchesnay, E. (2011). Scikit-learn: Machine learning in Python. The Journal of machine Learning research, 12, 2825-2830.
Refbacks
- There are currently no refbacks.
Copyright (c) 2021 JURNAL MEDIA INFORMATIKA BUDIDARMA
This work is licensed under a Creative Commons Attribution 4.0 International License.
JURNAL MEDIA INFORMATIKA BUDIDARMA
STMIK Budi Darma
Secretariat: Sisingamangaraja No. 338 Telp 061-7875998
Email: mib.stmikbd@gmail.com
This work is licensed under a Creative Commons Attribution 4.0 International License.