Abstract:
Sentiment analysis and opinion mining mainly
emphasize on opinions which express or describe
positive or negative sentiments. Sentiment analysis is
mostly concerned with NLP. The inception and rapid
development of the field concerned with the social
media on the Web, e.g., post, reviews, forum
discussions, blogs, microblogs, Twitter, and social
networks. There is a little research in Myanmar
language. This system implements sentiment analysis
system for Myanmar news using well-known machine
learning approach such as Support vector machine.
Feature extraction and selection are also need for
sentiment analysis to improve accuracy. This system
uses N gram and TF-IDF method for feature selection
and extraction. News corpus is used for training and
testing. This system uses News data set from different
web pages in Facebook social media.
