Big-SoSA:Social Sentiment Analysis and Data Visualization on Big Data

Abstract: In recent years, due to the popularity of social networking has dramatically increased and the vast amount of data being produced by social networks such as Twitter, Facebook, Google+, etc.,. Social networks become popular among millions of people who share�s their thoughts in everyday life. Social media web sites are rich source of data for sentiment analysis. Sentiment Analysis, has been used to understand the people�s opinion on particular product or service. Twitter, one of the biggest and most popular social web site which contains unstructured data. In order to analysis such a data we need effective methodology which can process huge volume of data. Therefore, in this paper, we propose a method of sentiment analysis on twitter by using Hadoop and its ecosystems that will process the large volume of data on a Hadoop and the MapReduce function will perform the sentiment analysis.

Keywords: Social media; Sentiment analysis; TwitterAPI; Hadoop; MapReduce; Flume;