Sentiment Analysis on Customer Responses

TL;DR

This paper performs a comparative sentiment analysis of Amazon customer reviews on smartphones, classifying opinions into positive, negative, and neutral to understand consumer sentiment trends.

Contribution

It introduces a method for analyzing customer reviews using opinion and text mining to classify sentiments in product feedback.

Findings

Reviews are effectively categorized into positive, negative, and neutral sentiments.

Sentiment analysis reveals key opinions influencing customer perceptions.

The approach aids in understanding consumer attitudes towards smartphones.

Abstract

Sentiment analysis is one of the fastest spreading research areas in computer science, 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 product reviews collected from Amazon.com. We performed a comparative sentiment analysis of retrieved reviews. This research paper provides you with sentimental analysis of various smart phone opinions on smart phones dividing them Positive, Negative and Neutral Behaviour.