Emotion detection on Myanmar texts

At this age, World Wide Web is growing faster. Many companies have built and launch social media networks. People so widely use to get the latest news, express their emotions or moods, communicate with friends on. Emotions of users are needed analyze in order apply many areas. researchers do research on emotion detection using different techniques languages. Currently, there no systems for Myanmar (Burmese) language. So, paper describes system This uses our pre-constructed M-Lexicon, a word-emotion lexicon, process. detects six basic such as happiness, sadness, anger, fear, surprise, disgust. In determine certain from text, we also rule-based decision making sentence nature. We Facebook users’ status, which has been written words. user groups summarized system. Our approach achieves 86% accuracy texts.