2026-07-27T17:25:30Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/00006750 2021-12-13T00:29:40Z 1582963342780:1596102355557 user-uit

A Review on Sentiment Analysis Research in Myanmar Language Win Win Thant Ei Ei Mon Sandar Khaing Sentiment analysis is an emerging research area and is very important because human beings are largely dependent on the web in these days. A little research on sentiment analysis has been done for Myanmar language in Myanmar. So, this paper aims to review past, present and future of Myanmar sentiment analysis and presents the study of the Myanmar language research on the opinion lexicon creation and sentiment classification. The lexicons are created for four domains and the sentiment classification is done for three domains by using the equations of polarity scores, Support Vector Machine (SVM), Long Short-Term Memory (LSTM) and Naïve Bayes. The objective of this paper is to provide a review of Myanmar language sentiment analysis research papers from well-known journals and conferences between 2017 and 2019. 2019-10-01 https://meral.edu.mm/records/6750