Product Overview Sentiment Analysis Using Lexicon Hybrid-Based Approach and Machine Learning

Daniel Kumala (Computer Science Department, BINUS Graduate Program, Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia)
Antoni Wibowo (Computer Science Department, BINUS Graduate Program, Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia)

Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan
Vol. 17, No 3 : Al Qalam (Mei 2023)

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%.