Deep Learning or Traditional Methods for Sentiment Analysis: A Review

Sentiment analysis's main goal is to extract the context from the text. The digital world of today offers us a variety of raw data formats, including blogs, Twitter, and Facebook. In order to perform analysis on this raw data, researchers must transform it into useful information. Numerous researchers used both deep learning and traditional machine learning techniques to determine the text's polarity. In order to understand the work done, we reviewed both approaches in this paper. The best methods for classifying the text will be selected by the researchers with the aid of this paper. We select a few of the best articles and evaluate them critically based on various factors. The purpose of this study is to explore the different machine learning and deep learning techniques to identify its importance as well as to raise an interest for this research area.