MERAL Myanmar Education Research and Learning Portal
Item
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Sentiment Analysis on Myanmar News Articles
http://hdl.handle.net/20.500.12678/0000005348
http://hdl.handle.net/20.500.12678/00000053484cadeac4-ff18-4b68-8ad9-2a3fec159ae1
367b1d07-846b-4e57-baa0-2444a13a7361
Name / File | License | Actions |
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Sentiment Analysis on Myanmar News Articles | |||||
Language | en | |||||
Publication date | 2016-12-18 | |||||
Authors | ||||||
Thet Thet Zin | ||||||
Su Su Htay | ||||||
Nyein Thwet Thwet Aung | ||||||
Win Win Thant | ||||||
Kay Thi Yar | ||||||
Khine Khine Htwe | ||||||
Description | ||||||
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. |
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Keywords | ||||||
Sentiment Analysis (SA), Natural Language Processing (NLP), Social media,, News articles | ||||||
Conference papers | ||||||
18 December, 2016 | ||||||
2nd International Workshop on Advanced Information Technologies | ||||||
Yangon, Myanmar |