2026-08-25T16:07:45Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4745 2021-12-13T03:33:31Z 1582963302567:1597824273898 user-ucsy

Annotation and Sentiment Analysis for Myanmar News Yu, Thein Nwet, Khin Thandar This paper presents a corpus of Myanmar News and its metadata, annotated with sentiment polarity. It contains 100 news from Myanmar media websites such as news-eleven.com, 7daydaily.com and popularmyanmar.com. This news dataset is of at most value as all the annotation is done manually and this makes it a very rich dataset for training purposes. In this work, we describe the creation and annotation process, content, and the possible uses of the dataset. As an experiment, we have built a basic classification system to identify the emotion polarity of the news. N-gram feature selection algorithm is used in this system to select the most relevant features from training dataset. In Experiment, we classify the News by using well-known Naïve Bayes classifier. 2018-02-22 http://hdl.handle.net/20.500.12678/0000004745 https://meral.edu.mm/records/4745