Abstract:
The objective of this project is to develop Automated Restaurant Reviews Rating
Web Application. This report includes methodology and technique for opinion
mining. Shortly, we are working on public opinions by doing several processing of
sentiment gathered from different restaurant websites/facebook pages. Finally the
end product of the processing and sentiment analysis will be in the form of web
application
!
In recent years, sentiment analysis became a growing trend in research area; social
media gets daily bases numbers of reviews by customers of restaurants which are
unable to decide whether good or worst by reading all the reviews, so that an
automated system is needed to get customer reaction and give feedback as a rating or
score. Processing natural language and understanding customer mind is a big
challenge. Many techniques has been used in past years but still it’s a hot topic due to
a single negation word can change the meaning context. We have used supervised
leaning approach with negation transformation technique on Facebook live reviews
data and achieved good performance other than previous researches.
