Abstract:
Online review forums and websites are highly popular these days. They enable customers to
post online reviews and rate businesses based on their personal experience. These online
reviews affect future customer decisions and demands on business. The Influence of the review
might be high or low according to its user profile, overall image of the business and the context
of the review itself. A well reputed or related user can add more weight to future customer
decisions. A business with a popular brand name might not get rejected due to some negative
comments. Also these reviews might start a trend on customers visiting that business or leaving
that business. The main objective of this research is to predict customer behaviour for a given
time period after a certain date using features of previous online reviews. Further to identify
trends in customer behaviour and derive trending review topics that persist those trends.
