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Annotation and Sentiment Analysis for Myanmar News
http://hdl.handle.net/20.500.12678/0000004745
http://hdl.handle.net/20.500.12678/00000047454ca5fbf3-6e16-449b-baba-58ec43f4d6d3
67fdbbf0-85fc-4965-b17c-f61b76a32ddc
Publication type | ||||||
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Annotation and Sentiment Analysis for Myanmar News | |||||
Language | en | |||||
Publication date | 2018-02-22 | |||||
Authors | ||||||
Yu, Thein | ||||||
Nwet, Khin Thandar | ||||||
Description | ||||||
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. | ||||||
Keywords | ||||||
Sentiment Analysis, Opinion Mining, Natural Language Processing, Naive Bayes, N-gram | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/479 | |||||
Journal articles | ||||||
Sixteenth International Conferences on Computer Applications(ICCA 2018) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |