Analyzing customer feedbacks using Aspect Based Sentiment Analysis
Introduction
With the advancement in technology, the growth of social media like Facebook, Twitter, Instagram has been a platform for the customers to give feedback to the businesses based on their satisfaction. The reviews posted by customers are the globally trusted source of genuine content for other users. Customer feedback serves as the third-party validation tool to build user trust in the brand. For understanding these customer feedbacks on an entity, sentiment analysis is becoming an augment tool for any organization.
Sentiment analysis involves examining online conversations like tweets, blog posts, or comments about particular services or topics and segregating the opinions of the users (positive, negative, and neutral) which allows businesses to identify customer sentiment towards the products. It helps businesses with a deep pulse on how customers truly “feel” about their brand and process huge amounts of data in an efficient and cost-effective manner. By automatically analyzing customer