Analisis Sentimen Ulasan Aplikasi Instagram di Google Play Store: Pendekatan Multinomial Naive Bayes dan Berbasis Leksikon
Indonesia
Abstract
Social media platforms like Instagram play a significant role in the daily lives of many individuals. To understand user experiences with social media, we can read reviews and ratings provided by users. However, these ratings often may not accurately reflect the content of their reviews. Therefore, it is important to analyze these responses to understand the common complaints users have. This study aims to develop an accurate sentiment analysis method for Instagram user reviews by combining Naïve Bayes with a lexicon-based approach to address the discrepancy between star ratings and the content of reviews. The main issue addressed is how to accurately analyze Instagram user sentiment, given the potential discrepancies. To tackle this problem, the study employs a Naïve Bayes method combined with a lexicon-based approach to determine positive and negative sentiments towards user reviews. The testing results show an accuracy of 92%, with a precision of 84%, recall of 91%, and an F1-Score of 87%.
Downloads
References
K. J. Syahrina, N. Siregar and N. Harahap, "PENELITIAN TENTANG INSTAGRAM," Maktabun: Jurnal Perpustakaan dan Informasi, pp. 20 - 26, 2022.
C. M. Annur, "Indonesia Jadi Negara dengan Pengguna Instagram Terbanyak ke-4 di Dunia," Databoks, 28 11 2023. [Online]. Available: https://databoks.katadata.co.id/datapublish/2023/11/28/indonesia-jadi-negara-dengan-pengguna-instagram-terbanyak-ke-4-di-dunia. [Accessed 21 april 2024].
N. Julius, "Data Jumlah Pengguna Instagram di Indonesia 2024," Upgraded, 14 06 2024. [Online]. Available: https://upgraded.id/data-jumlah-pengguna-instagram-di-indonesia. [Accessed 18 06 2024].
J. Callaham, "From Android Market to Google Play: a history of the Play Store," Android Authority, 2017 03 2017. [Online]. Available: https://www.androidauthority.com/android-market-google-play-history-754989/. [Accessed 12 05 2024].
S. Sadiq, M. Umer, S. Ullah, S. Mirjalili, V. Rupapara and M. Nappi, "Discrepancy Detection between Actual User Reviews and Numeric Ratings of Google App Store using Deep Learning," Expert Systems with Applications, vol. 181, pp. 1-11, 2021.
Y. Asri, W. N. Suliyanti, D. Kuswardani and M. Fajri, "Pelabelan Otomatis Lexicon Vader dan Klasifikasi Naive Bayes dalam menganalisis sentimen data ulasan PLN Mobile," PETIR: Jurnal Pengkajian dan Penerapan Teknik Informatika, vol. 15, no. 2, pp. 264-275, 2022.
D. S. Sayogo, B. Irawan and A. Bahtiar, "ANALISIS SENTIMEN ULASAN INSTAGRAM DI GOOGLE PLAY STORE MENGGUNAKAN ALGORITMA NAÏVE BAYES," JATI (Jurnal Mahasiswa Teknik Informatika), vol. 7, no. 6, pp. 3314-3319, 2023.
T. Widiyaningtyas, I. A. Zaeni and R. A. Farisi, "Sentiment Analysis Of Hotel Review Using N-Gram And Naive Bayes Methods," in 2019 Fourth International Conference on Informatics and Computing (ICIC), Semarang, 2019.
R. B. Trianto, A. Triyono and D. M. P. Arum, "Klasifikasi Rating Otomatis pada Dokumen Teks Ulasan Produk Elektronik Menggunakan Metode N-gram dan Naïve Bayes," Jurnal Informatika Universitas Pamulang , vol. 5, no. 3, pp. 295-301, 2020.
L. A. Sari, N. F. Ramadhita and F. N. Hasan, "ANALYSIS OF PUBLIC SENTIMENT ON GOOGLE PLAY STORE TIJE APPLICATION USERS USING NAÏVE BAYES CLASSIFIER METHOD," Jurnal Teknik Informatika (JUTIF), vol. 5, no. 1, pp. 243-251, 2024.
A. Sunjaya, N. Wijaya, N. P. Wong, S.KOM., M.T.I and S. Winardi, S.KOM., M.T.I, "Implementation of Sentiment Analysis of Shopee E-Commerce Reviews using Naïve Bayes, N-Gram, and Information Gain," in 2023 Eighth International Conference on Informatics and Computing (ICIC) (2023), Malang, 2023.
A. Bayhaqy, K. Nainggolan, S. Sfrenrianto and E. R. Kaburuan, "Sentiment Analysis about E-Commerce from Tweets Using Decision Tree, K-Nearest Neighbor, and Naïve Bayes," 2012.
D. Abimanyu, E. Budianita, E. P. Cynthia, F. Yanto and Y. , "Analisis Sentimen Akun Twitter Apex Legends Menggunakan VADER," Jurnal Nasional Komputasi dan Teknologi Informasi, vol. 5, no. 3, pp. 423-431, 2022.
D. D. Suhartono,S.Kom., M.T.I, "N-Gram," BINA NUSANTARA : sCHOOL OF COMPUTER SCIENCE, 19 12 2019. [Online]. Available: https://socs.binus.ac.id/2019/12/31/n-gram/. [Accessed 01 03 2024].
D. Septiani and I. Isabela, "ANALISIS TERM FREQUENCY INVERSE DOCUMENT FREQUENCY (TF-IDF) DALAM TEMU KEMBALI INFORMASI PADA DOKUMEN TEKS," SINTESIA: Jurnal Sistem dan Teknologi Informasi Indonesia, vol. 1, no. 2, pp. 81-88, 2022.
E. Indarbensyah and N. Rochamawati, "Penerapan N-gram Menggunakan Algoritma Random Forest dan Naives Bayes Classifier pada Analisis Sentimen Kebijakan PPKM 2021," JINACS: Journal of Informatics and Computer Science, vol. 2, no. 4, pp. 235-244, 2021.
I. E. Tiffani, "Optimization of Naïve Bayes Classifier By Implemented Unigram, Bigram, Trigram for Sentiment Analysis of Hotel Review," JOSCEK : Journal of Soft Computing Exploration, vol. 1, no. 1, pp. 1-7, 2020.
D. H. Kalokasari, D. M. Shofi and A. H. Setyaning, "IMPLEMENTASI ALGORITMA MULTINOMIAL NAIVE BAYES CLASSIFIER PADA SISTEM KLASIFIKASI SURAT KELUAR (Studi Kasus : DISKOMINFO Kabupaten Tangerang)," JURNAL TEKNIK INFORMATIKA, vol. 10, no. 2, pp. 109-118, 2017.
M. Abbas, K. A. Memon, A. A. Jamali, S. Memon and A. Ahmed, "Multinomial Naive Bayes Classification Model for Sentiment Analysis," IJCSNS International Journal of Computer Science and Network Security, vol. 19, no. 3, pp. 62-67, 2019.
E. H. Muktafin, K. and E. T. Luthfi, "Analisis Sentimen pada Ulasan Pembelian Produk di Marketplace Shopee Menggunakan Pendekatan Natural Language Processing," Jurnal Eksplora Informatika, vol. 10, no. 1, pp. 32-42, 2020.
U. Rahardja, T. Hariguna and W. M. Baihaqi, "Opinion mining on e-commerce data using sentiment analysis and k-medoid clustering," in Proceedings - 2019 12th International Conference on Ubi-Media Computing, Ubi-Media 2019, 2019.
B. Hakim, "Analisa Sentimen Data Text Preprocessing Pada Data Mining Dengan Menggunakan Machine Learning," JBASE - Journal of Business and Audit Information Systems, vol. 4, no. 2, 2021.
L. Ardiani, H. Sujaini and T. , "Implementasi Sentiment Analysis Tanggapan Masyarakat Terhadap Pembangunan di Kota Pontianak," Jurnal Sistem dan Teknologi Informasi (Justin), vol. 8, no. 2, p. 183, 2020.
P. A. Sumitro, R. D. I. Mulyana and W. Saputro, "Analisis Sentimen Terhadapat Vaksin Covid-19 di Indonesia pada Twitter Menggunakan Metode Lexicon Based," Jurnal Informatika dan Teknologi Komputer, pp. 50-57, 2021.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Analisis Sentimen Ulasan Aplikasi Instagram di Google Play Store: Pendekatan Multinomial Naive Bayes dan Berbasis Leksikon
Pages: 921-929
Copyright (c) 2024 novresia wijaya, Erwin Setiawan Panjaitan
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are 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 an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their 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 published work (Refer to The Effect of Open Access).