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;