SENTIMENT ANALYSIS OF SURVEY DATA

The process of figuring out if a piece of writing is positive, negative, or neutral is called sentiment analysis (SA). Opinion mining is an alternative term for sentiment analysis. Sentiment analysis is a branch of Natural Language Processing (NLP) that collects subjective opinions and feelings from diverse sources regarding a given topic. A collection of tools called sentiment analysis is used in business to detect, extract, and utilize sentiment. It is a ranking algorithm designed to identify a viewpoint based on opinion. There are various approaches to sentiment analysis. Supervised machine learning algorithms like Naive Bayes (NB), Support Vector Machine (SVM), and Linear Regression (LR) are part of the automatic classification technique. Recurrent neural networks (RNN) are another technique used in classification. The rule-based classification strategy employs a variety of NLP processes. Sentiment analysis uses machine learning to create accurate knowledge of people without the need for human interaction. Sentiment analysis can transform text into something favorable, negative, or neutral. As a result, any institution, foundation, or film critic can take public opinion into account and act accordingly