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WORD EMBEDDING ANALYSIS IN SENTIMENT ANALYSIS USING MACHINE LEARNING: A CASE STUDY OF STEAM RPG GAME REVIEWS Ardian Adam Alfarisyi; Mahendra Dwifebri Purbolaksono; Alfian Akbar Gozali
Jurnal Sistem Informasi Vol. 12 No. 2 (2025)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsii.v12i2.10917

Abstract

User reviews on gaming platforms such as Steam have become a crucial source of information for potential players before making purchasing decisions. Due to the varied nature of user opinions, sentiment analysis is essential for processing and interpreting these reviews. This study investigates the application of sentiment analysis to RPG game reviews on Steam, aiming to assist users by summarizing reviews through sentiment results and providing insights into the general perception of a game. To achieve this, the study applies sentiment analysis using Word2Vec and Support Vector Machine (SVM). It focuses on evaluating the impact of lemmatization during preprocessing and analyzing the performance of Word2Vec in sentiment classification. Word2Vec transforms review text into vector representations that capture semantic relationships, enhancing the model’s ability to understand context. Meanwhile, SVM is chosen as the classifier for its effectiveness in distinguishing between positive and negative reviews and handling high-dimensional data. The system developed uses Word2Vec with 300-dimensional vectors combined with an SVM Polynomial classifier, resulting in the best performance among the tested models. The final model achieves a macro-average F1-score of 88.6%, indicating a strong capability in accurately classifying sentiments in user reviews. These results highlight the potential of combining word embedding and machine learning techniques for analyzing sentiment in gaming platforms.   Keywords: sentiment analysis, Word2Vec, SVM, Steam, RPG
Co-Authors A, Subaveerapandiyan Abduh Husaini Batubara, Muhammad Abdul Raihan Achmad Rizal Ade Romadhony Adiwijaya Ahmad Ibrahim A.M Akmal Natakusuma Amir Hasanudin Fauzi Angelina Prima Kurniati Anranur Uwaisy Marchiningrum Ardian Adam Alfarisyi Ario Harry Prayogo Artanto Ageng Kurniawan Asep Deffy Ciptady Asri Erbenca Gegeh, Yolando Assyifa, Cynthia Bondan Ari Bowo Bq Desy Hardianti Bq Desy Hardianti Cahyana Chikal Fachdiana Citra Pangestu Diken Pradana Putra Diska Yunita Eko Darwiyanto Elly Susilowati Emir Septian Sori Dongoran Fachri Pane, Syafrial Fahri Alfiansyah Fauzan, Muhammad Arief Gumilar, Ihshan Hariandi Maulid Harris Febryantony Z Hegar Aryo Dewandaru Hegar Aryo Dewandaru Hetti Hidayati I Gusti Bagus Ady Sutrisna Imelda Atastina J. Ratna Juita S Joshua Tanuraharja Julius Angger Satrio Wicaksono Kadek David Kurniawan Kemas Rahmat Saleh Wibowo Kemas Rahmat Saleh Wiharja Kusuma Handoyo, Amanda Putri Mahendra Dwifebri Purbolaksono Mahmud Dwi Sulistiyo Miftahul Adnan Rasyid Mira Kania Sabariah Muhammad Agung Agung Muhammad Idris Muhammad Iqbal Muliadi Angga Wicaksono Nunit Prihatoni Siregar Nur Ghaniaviyanto Ramadhan Nurjayanti Nurjayanti Oktariani Nurul Pratiwi Pangestuaji Widodo, Akhdan Pratami, Rahmat Prawita, Fat'hah Noor Prawita, Fathah Noor Rafie Novianto Sudrajat Ramdana Putra, Haidar Rashid Reihaini Fikria Bunga Oktaviani Revanda Octavian Ria Aniansari Ruhallah, Muhammad Lutfi Shigeru Fujimura Syafrial Fachri Pane, Syafrial Fachri Tedy Gumilang Sejati Villy Satria Praditha Warih Maharani Wisnu Riyan Pratama Putra Yudhono, Efwandha Yusuf Basqara, Muhammad