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Item

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  1. University of Information Technology
  2. Faculty of Information Science

Sentiment Analysis on Myanmar News Articles

http://hdl.handle.net/20.500.12678/0000005348
http://hdl.handle.net/20.500.12678/0000005348
4cadeac4-ff18-4b68-8ad9-2a3fec159ae1
367b1d07-846b-4e57-baa0-2444a13a7361
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Sentiment Sentiment Analysis on Myanmar News Articles.pdf (236 Kb)
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Publication type
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.
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
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