An Attractive Proposal Based on Big Data for Sentiment Analysis Using Artificial Intelligence

Global data traffic is now growing at a pace that has not been seen in the previous decade. Different organizations extract valuable information after analyzing it. Among these analyses, we find the sentiment analysis to measure the level of satisfaction. Sentiment analysis is a branch of research that examines people’s written thoughts, sentiments, assessments, attitudes, and emotions using natural language processing and text analysis to find, measure, and study emotions in textual data. This study looks at how sentiment analysis is done and stresses how important it is to deal with natural language processing problems. The contest is centered on big data and artificial intelligence. We plan to implement the results of our study on the Hadoop platform. This new proposal considers the polarity result to modify the dataset using sentiment synthesis and change or remove the negative polarity.