2016 Olympic Games on Twitter : sentiment analysis of sports fans tweets using Big Data framework / Azam Seilsepour, Reza Ravanmehr, Hamid Reza Sima

Seilsepour, Azam | Ravanmehr, Reza | Sima, Hamid Reza

Big data analytics is one of the most important subjects in computer science. Today, due to the increasing expansion of Web technology, a large amount of data is available to researchers. Extracting information from these data is one of the requirements for many organizations and business centers. In recent years, the massive amount of Twitter's social networking data has become a platform for data mining research to discover facts, trends, events, and even predictions of some incidents. In this paper, a new framework for clustering and extraction of information is presented to analyze the sentiments from the big data.

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