2026-05-02T18:19:58Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/5348 2021-12-13T06:45:15Z 1582963342780:1596102391527 user-uit

Sentiment Analysis on Myanmar News Articles Thet Thet Zin Su Su Htay Nyein Thwet Thwet Aung Win Win Thant Kay Thi Yar Khine Khine Htwe Sentiment Analysis (SA) is one of the most active research areas in Natural Language Processing (NLP), web/social network mining and text/multimedia data mining. Traditional news agencies on online social media allow news consumers to express their opinions about the news articles. The analysis of news articles helps to measure and understand the social importance of many news of events like about 21st century Panglong Conference, Yangon Bus Service (YBS) Transportation, and so on. The sentiment analysis for Myanmar news upon social media is rarely conducted among researchers to the best of our knowledge. This research aims to mine opinion of Myanmar people upon news articles from Facebook news media pages written in Myanmar language. It consists of two main steps: (1) extract subjective sentences and (2) sentiment analyze and classify from extracted subjective sentences. The main outcome of the research will be positive and negative human opinion of Myanmar news comments. Therefore, this research will be not only opened a window to tap into the psychological thinking but also studied the general mind-state of communities especially for Ministries of the government. Knowing news consumer reactions are very useful for decision making of politicians and policy makers. 2016-12-18 http://hdl.handle.net/20.500.12678/0000005348 https://meral.edu.mm/records/5348