A Comprehensive Review on Sentiment Analysis Techniques and Machine Learning Libraries in Image Processing

Abstract

Big Data is the gateway to social opportunity, dealing with and separating large data action courses (called big data) to discover outlines and other knowledge that accommodates them. Analysis of big data will assist the partnership to better understand the information found within the data and can also help to interpret the data that is most important to business and future business decisions. Sentiment analysis is a method by which the use of natural language processing continues to derive information from the viewpoint of the user. This one remains a task used, for instance, to label individual evaluations as different classifications, positive and negative from the given bit of material. In human decision making, it helps. Machine Learning (ML) has evolved from a piece of Mathematics (Statistics) that only from time to time called computational methodologies, to an autonomous teaching of science that has not only provided the vital basis for learning systems' factual computational standards. This paper is aimed to present the survey of machine learning techniques and sentiment analysis in Distributed Environment and in Image Processing which uses medical data sets.