A review on opinionated sentiment analysis based upon machine learning approach
Neetika Bansal, Ashima Singh · 2016
Sentiment analysis is a rapidly emerging field and has attracted a large community of researchers to analyze an amalgamated form of people expressions shared on the internet. There are several sources like e-commerce sites, social networking sites, micro blogging sites which help in capturing user reactions corresponding to different market products and other important issues in the form of feedback. The opinions extracted from these feedbacks are useful for both individual and organizations to predict user opinionated sentiments and customer preferences. The key emphasis is put on the employing of an accurate method in the experiments to obtain correctness in the results. The main focus of this paper is to review Sentiment Analysis domain by using machine learning approach. The study is carried out by considering different facets like granularity, algorithms, polarity, applications, and data type related to the domain, which is presented and discussed in a simple manner.