Real-time Sentiment Analysis of Big Data Applications Using Twitter Data with Hadoop Framework

Twitter and other social networking sites generate huge amount of data on a daily basis. Frequent interactions can be witnessed with data generated through Linked-in, facebook, and gmail. Twitter being the largest social networking site generates data of very large amount because of millions of tweets and followers which are increasing per day. This imposes a big problem of processing and analyzing the data. As it is a case of handling big data, the technology of Hadoop comes into picture. Using Hadoop eases the process of analyzing the data. The work of analyzing twitter data is undertaken in the paper.

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