Machine Learning Based Approach To Sentiment Analysis

Sentiment analysis is one of the fastest growing research areas in natural language processing (NLP), making it challenging to keep track of all the activities. In a present day scenario, as the internet is a source of learning, getting thoughts, surveys for a product or a service. In a course of time, a large number of audits are created on the web about an item, individual or a place. Sentiment analysis is a research area which comprehends and extricates the assessment from the given review and the analysis process incorporates natural language processing (NLP), computational linguistics, text analytics and classifying the polarity of the opinion. In the field of sentiment analysis, there are numerous algorithms exist to tackle. This paper represents the taxonomy of various sentiment analysis methods. This task and observed that Logistic regression gives high accuracy compared to other techniques.