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All Journal Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan
Antoni Wibowo
Computer Science Department, BINUS Graduate Program, Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia
Social Sciences

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Product Overview Sentiment Analysis Using Lexicon Hybrid-Based Approach and Machine Learning Daniel Kumala; Antoni Wibowo
Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan Vol. 17, No 3 : Al Qalam (Mei 2023)
Publisher : Sekolah Tinggi Ilmu Al-Qur'an (STIQ) Amuntai Kalimantan Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35931/aq.v17i3.2131

Abstract

Various sentiment analysis methods have been proposed to obtain reviewing opinions from machine learning and vocabulary-based sentiment. In previous research using only machine learning methods, I got an unsatisfactory accuracy score because a lexical / lexicon hybrid method was used in this study. Machine learning is proposed that can improve the performance of existing sentiment analysis. With this proposal the researcher was able to obtain experimental results that showed that the classifiers that produced the best results for the game review were Hybrid Lexicon and Nave Bayes with an accuracy of 70%.
Co-Authors Daniel Kumala