Estimation of Accuracy Level for Sentiment Analysis using Machine Learning and Deep Learning Models

Due to the digitization of everything, the effect of the growth of social media in nook and corner of the world creates the requisite of gathering and analysing the millions of reviews that people shared about their emotions so as to improve the quality of the corresponding concern. Such thing is defined as sentiment analysis which accommodates online product reviews, movie reviews, personal posts in social media, etc. to categorize them as good and bad. The proposed research contains the performance examination of machine learning and deep learning models for the hotel reviews and IMDB Movie Reviews. The result reveals that the deep learning has higher accuracy. The performance of machine learning models varies depending on the size of the dataset.