Data Extraction Approach using Natural Language Processing for Sentiment Analysis

Abstract

The branch of research known as “sentiment analysis and opinion mining” focuses on extracting meaning from the written words of others by studying their thoughts, feelings, judgments, and attitudes. Natural language processing is one of the most active study fields in data mining, web mining, and text mining. There are numerous uses of sentiment analysis, such as assessing the impact of events on social networks and gauging public opinion on products and services. In the same way as blogs, forums, microblogs, and social networks such as Twitter and Facebook have grown in popularity, sentiment analysis is becoming increasingly important. It is possible to measure sentiments that are captured in digital form using supervised machine learning and lexical-based techniques.