Advanced technology development and high
speed internet connection have connected people across
the world. Every business marks its presence on web
and directly gets connected with the interested
customers. On the other hand, consumers express their
opinion about the services and products on companies’
website, forum or any other social platform. Therefore,
as data is available in bulk, it is very difficult for
manufacturers and buyers to make decision due to
vagueness. This paper proposes an enhanced opinion
mining approach that filters ambiguity and highlights
general sentiments of a particular product. This aspect
based opinion mining approach has three important
phases, prepossessing followed by feature extraction
and then ranking.
Keywords : Sentiment Analysis; Opinion Mining; Polarity; Machine Learning.