An Intelligent Framework for Sentiment Analysis of Text and Emotions—Implementation of Restaurants’ Case Study

Nowadays, online purchasing of products is becoming very popular. The thing which counts is that whether the purchased product satisfies the need of a consumer or not. The buyer does not have clear idea about the product initially, due to the lack of straight deal or physical touch of the product. So, to solve the issue of reliability, consumer moves to review analysis available online regarding the product. Hereto the limitation is that a single review may not be trustworthy due to fake or false review about the particular product. To overcome such issues, a certain satisfying model based on online product ratings needs to be worked out which could incorporate the available reviews. The primary aim of this research paper is to implement an intelligent framework for sentiment analysis of text and emotions and apply machine learning approach for computing the effectiveness and efficiency of overall ratings by the consumer for particular item or product.