Sentiment Analysis using Machine Learning Based Ensemble Model for Food Reviews

Abstract

Sentiment analysis or determining the opinion is study about the people’s sentiment, emotions and opinion that is expressed in terms of text. It’s very popular because it helps us in understanding the opinions of other people. Which is the key influencer and important part of almost all human activities. The opinion of the people can be either positive or negative. The main objective of our work is to build a Machine Learning Ensemble model for Sentiment analysis. Ensemble strategies combine various learning algorithms to gain optimum performance. The Amazon Fine Food Reviews dataset has been used. The proposed model has been evaluated using various performance metrics such as Accuracy, Recall and Precision. Proposed system showed promising results when compared to individual base models.