Sentiment Analysis Using Machine Learning

Sentiment analysis is one of the fastest spreading research areas in
computer sci- ence, making it challenging to keep track of all the
activities in the area. We present a customer feedback reviews on
product, where we utilize opinion mining, text mining and sentiments,
which has affected the surrounded world by changing their opinion on a
specific product. Data used in this study are online prod-uct reviews
collected from Amazon.com. We performed a comparative sentiment
analysis of retrieved reviews. This project provides you with
sentimental analy- sis of various opinions on dividing them positive,
negative and neutral behavior. The rating description and the rating
number won’t match in many cases. The ratings are done based on
various components of product for example in case ofLaptop some user
rate only based on speed of performance but other users ratebased on
battery, display and sound. So, parsing the text description and analyzing
the accurate ratings is so important than simply plotting the rating
numbers. So, sentiment analysis techniques are required to find the
polarity of the review. That is to find if the review is positive or
negative or neutral.