Crypto-Currency Sentiment Analyse on Social Media

Abstract

The amount of data produced with the introduction of social media tools has reached gigantic size. In analyzing data, and now traditional methods are no longer enough, the concept of 'Big Data' has entered our lives. There is an inevitable need to produce meaningful summaries by analyzing data at huge size. Large data tools are used to meet this need. In order to have knowledge about human behaviors using these tools and to develop solutions in this direction, social media and especially Twitter data are being studied. As is known, the concept of crypto currency, which has come from trends in recent years, attracts more and more people. In this study, approaches to the most commonly used crypto currencies were examined for the first time using large data tools. The meaningless data on twits which is taken from Twitter has been cleared and the approaches of users against crypto paralysis have been analyzed by using various classifiers and the results have been shown. © 2018 IEEE.