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Journal : Teika

Analisis Sentimen Pada Komentar Youtube Dalam Turnamen MPL Season 13 Dengan Metode Ensemble Machine Learning Burnama, Zendhi Yuna; Rosid, Mochamad Alfan; Azizah, Nuril Lutvy
TeIKa Vol 14 No 2 (2024): TeIKa: Oktober 2024
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v14i2.3722

Abstract

Sentiment analysis of comments on YouTube videos related to MPL Season 13 was conducted using an Ensemble Learning-based classification method. This study focuses on identifying sentiment patterns in comments and determining team popularity based on positive fan support. The methods employed include initial planning, data collection through scraping techniques using the YouTube Data API v3, and preprocessing steps. From a total of 6,424 comments collected, the number of relevant comments was reduced to 5,185 after the cleaning, case folding, stopword removal, slang conversion, stemming, and tokenization stages, resulting in 3,131 positive comments and 2,064 negative comments. Various classification methods were applied simultaneously and combined using ensemble machine learning techniques with a majority voting approach. Before classification, the data was processed using SMOTE (Synthetic Minority Over-sampling Technique) to address class imbalance. The testing results showed that the hard voting method achieved an accuracy of 86,70% (with 90% training data and 10% testing data), while the soft voting method reached an accuracy of 86,17%. The labeling process was carried out using the Flair library, validated by a confusion matrix. The application of a labeling method that combines both automatic and manual approaches successfully improved classification accuracy and minimized potential errors. Additionally, this analysis identified the highest supporter count, with 877 supporters for EVOS, followed by RRQ and ONIC with 743 and 556 supporters, respectively. This research is expected to make a significant contribution to the development of sentiment analysis in the context of e-sports and open up opportunities for further analysis in future research.
Co-Authors Ade Eviyanti Adi Putra, Lutfi Agoeng Dwi Djoelianto Ahmad Syaichul Hadi aini firdausi nuzulla Aisha Hanif Alifiyah Rohmatul Hidayati Alim, Kholqi Aminy, Ritzana Aisyah Anjasmara, Dimas Bayu ARDIANSYAH ARDIANSYAH Ardiansyah, Alfinas Ardilah, Diamond Heris Arief Senja Fitrani Arif Senja Fitrani Arif Senja Fitriani Astutik, Ika Ratna Indra Azizah, Nuril Lutvy Bagus Dwi Kurniawan, Bagus Dwi Bagus Dwi Yulianto Burnama, Zendhi Yuna Busono, Suhendro Damasta, Ifanda Reza Danu Pamungkas Darmawan, Dikky Putra Diana Cindy Agustin Dina Dwi Oktavia Rini Dony Rakhmad Hidayat Dwi Saka Dharmawan Edwin Pramana Fahmi Anggara Santosa Fahreza Ramadhan Fajar Muharram Fauzan, Mochamad fil ardi, Mochamad kholifatu Fitriani, Arif Senja Ghozali Rusyid Affandi Gunawan Gunawan Gunawan Hadi, Miftakhul Hamzah Setiawan Haris Ahmad Gozali Hasan Basri Hasan, Jamal Hindarto Ika Ratna Indra Astutik Ika Ratna Indra Astutik Imanudin, Giri Fajar Irwan Alnarus Kautsar Kurniawan, David Hogy Tri Mabrur, Moh Faris Ghossani Mardiono, Adimas Prasetyo Moch. Bahak Udin By Arifin Mochamad Rifqi Aminudin Mohamad Haris Muzadi Muhammad Fachruddin, Muhammad Muhammad Jamilul Iman Muhammad Muzany Mulyoutomo Novia Ariyanti Nurdyansyah Nursapdahi, Nursapdahi Pamungkas, Nicky Ibrahim Pandi Rais Prasetio, Aga Dandi Prasetyo, Agbar Pratama, Nikko Enggaliano Rachmadany, Andry Ramadhan, Aldo Reghan Ramadhan, Mochammad Hisyam Syah Ratih Puspitasari Resa Rakhman Ribangun Bamban Jakaria Rizaldi, Dedy Robby Firmansyah Ardha Rohman Dijaya Rukhi Alfian, Muhammad Ruri Aditya Pratama Sambada, Muhammad Arginanta Kafi Setiawan, Hamzah Shiddiq, Zulfian Syahril Siti Nur Haliza Soni Abdala Sukma Aji Sumarno Sumarno . Sumarno Sumarno Syaichul Hadi, Ahmad Syaifudin, Hilmi Fajar Syamsiar, Syamsiar Taurusta, Cindy Tomi Eko Hidayat Triwahono, Handi Uce Indahyanti Utama, Bagas Riski Witno, Kasaifi Al Qurdhowi Bin Yulian Findawati Yunianita Rahmawati, Yunianita Yusuf, Farid Maulana Zahputra, Aldy Trisza