An Evaluation of Sentiment Analysis Techniques, Processes and Challenges

Abstract

Sentiment analysis is a technique that is occasionally used to examine information in textual form and extract thoughts from the text. The goal of sentiment analysis is to determine if users have a good or negative impression about a given topic. Online communication platforms like Twitter, Facebook, YouTube, and others have become quite important in modern society. People discuss their feelings or ideas on it. We tend to emphasise on opinion mining or feeling evaluation in this review paper, which is a field of web data mining and machine learning. The evaluation of several methodologies has been done in this study, which presents the machine learning and natural language processing (NLP) methods employed by earlier academics in sentiment analysis.