Opinion Mining For Students Feedback Using Supervised Learning Algorithms
Background of the Study
Opinion mining, or sentiment analysis, is a text analysis technique that uses computational linguistics and natural language processing to automatically identify and extract sentiment or opinion from within text (positive, negative, neutral, etc.). It allows you to get inside your customers’ heads and find out what they like and dislike, and why, so you can create products and services that meet their needs. When you have the right tools, you can perform opinion mining automatically, on almost any form of unstructured text, with very little human input needed.
Opinion mining and sentiment analysis models can focus on polarity of opinion (positive, negative, neutral), personal feelings (angry, happy, sad, etc.), and intentions or objectives (interested or not interested).