A Review Paper on Sentiment Analysis: Base Model, Procedure and Methodology

Abstract

Sentiment analysis means to classify the feelings and opinions that are written in the form of sentences or text. In today’s world people express their feelings in various ways by feedbacks, reviews, comments on various social sites. Sentiment analysis is a text analysis technique that analyzes the text and checks its polarity so that the text can be classified as positive, negative, or neutral. The analysis of the sentiments can be done with the help of different machine learning techniques. This paper explains the sentiment analysis by broadcasting different work that is done by overcoming different people on sentiment analysis, elaborating the different techniques that can be used to overcome the drawbacks of the existing models. An elaborated explanation of the basic model of how a sentiment analysis model works and what procedure it follows can be easily understood through this paper. The paper gives the idea of future trends on which better models can be made for quick and efficient results after the survey of many papers.