Sentiment Analysis of Twitter Data Using Hadoop

Abstract—In today‘s highly developed world, every minute, people around the globe express themselves via various platforms on the Web. And in each minute, a huge amount of unstructured data is generated. This data is in the form of text which is gathered from forums and social media websites. Such data is termed as big data. User opinions are related to a wide range of topics like politics, latest gadgets and products. These opinions can be mined using various technologies and are of utmost importance to make predictions or for one-to-one consumer marketing since they directly convey the viewpoint of the masses. Here we propose to analyse the sentiments of Twitter users through their tweets in order to extract what they think. Hence we are using hadoop for sentiment analysis which will process the huge amount of data on a hadoop cluster faster