Abstract:
In today's world, as a result of the increase in digital channels and the size of the data, the data analysis models have gained diversity. Big Data opens new horizons for examining the increasing, concurrent and scattered size of various. data and allows for different angles in interpretation of results. Thanks to the widespread use of social media, the increase in internet speed and the relative decrease in internet usage prices, the demand of individuals for these channels is increasing day by day. Nowadays, opinions, fear and worries, happy and unhappy moments are shared in these channels and the traces of these sharings which belong to individuals can be collected and analyzed. In this research, specific keywords were analysed in a certain time interval to see whether the increasing and decreasing ratios of words had any relation with the fluctuations in forex prices. In the study, content analysis was used as the method and observed that there was a positive relationship between tweets and forex prices.

Keywords: Big Data, Twitter, Forex, Social Media

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