Multiple linear regression on movie data for true rating prediction

Abstract

Amino acids are little bio-particles with different properties. Data mining, being the science of mine dealing with the databases for gathering information and knowledge, has lately developed innovative axes of functionalities and stimulated an promising discipline, called Sentiment Analysis. Now-a-days, Sentimental content is available across the social media websites in a form such as consumer comments or reviews for the products, movies, testimonials, significance in discussion forums. Well-timed sentimental discovery of the online content on these websites have significant role that supports the distribution and monetization. Consideration of the sentiments of individual on diverse elements and goods facilitates to serve better services in terms of recommendation structures, contextual advertisements, and marketplace trend analysis. The focus on this research is to facilitate the swift detection of true and positive analysis of movie reviews. This research study highly discusses the regression algorithm that aims to predict with over 89% accuracy the true rating of the movie reviews based on the users matching profiles and the given reviews which of those may be false positive or true negative.