Abstract:
Big social data analytics is an important
tool which can be used to reveal the important
insight of the information from the social user. It is
an approach which combines various statistical
methods, sentiment analysis, multimedia management
and social media analytics for forecasting and
predicting people and analyzing trends. In Myanmar,
most of people use social media, especially
Facebook, to express their opinion about specific
topic in Myanmar language. Customer's comment
and reviews are valuable, and are important source
of data for multiple purposes. There are various
method were introduced for performing sentiment
analysis, still there are not efficient in extracting the
sentiment features from a given context of text. In this
paper, aspect based sentiment analysis of hotels’ and
restaurants’ reviews using Long Short-Term Memory
(LSTM) is proposed.
