2024-03-29T11:01:28Z
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