Published Paper Details:

The Sentiment Analysis is the process use to determine the semantic orientation of the reviews. There are many algorithms are exists for the sentiment classification. Support vector machines are a specific type of machine learning algorithm used for many statistical learning problems, such as text classification, spam filtering, face and object recognition, handwriting analysis and countless others. Ideas and opinions of peoples are influenced by the opinions of other peoples. Lot of research is going on analysis of reviews given by peoples. Big data is an assortment of large data sets where data is present either in structured or unstructured form. With the advent of social media websites, online user opinions are acquiring more heed of researches because beneficial information about different subjects is available on social media. In this paper we proposed a system which involves collecting data from social network using the Google, Flipkart, Twitter and Facebook API�s. Then, the challenges of big data a resolved using Hadoop through MapReduce framework where the complete data is mapped and reduced to smaller sizable data to ease of handling and finally includes analyzing the collected data and represent the results through graphs.