Sentimental analysis of social media using R language and Hadoop: Rhadoop

Abstract

The growth of Technology of World Wide Web has changed the way of expressing people's views, opinions and Sentiments about others. Mostly they use blogs, Social sites, online discussions etc. This leads to the generation of massive amount of data. Gleaning information from massive storage of data is a big challenge for the companies in these days. This paper leverages the sentimental analysis of Twitter data using R language which is helpful for collecting the sentiments information in the form of either positive score, negative score or somewhere in between them. Then we perform the analysis of tweets data that are having a size of TBs means big data using R language and Rhadoop Connector. Here the problem is related with “performance”?? When we extract the information from petabytes of data we focus on the analysis of big data. This paper shows the performance estimation on two different platforms R language and Rhadoop tool.