Abstract:

Social media has begun to be researched in many current studies that have a high level of impact on many business intentions, from people's buying habits to investment decisions, and this relationship has been revealed. The current analysis methods developed on this relationship are a very attractive topic that is used as a support mechanism in making investment decisions by predicting the future values of investment instruments. That’s why this relationship has become a topic of interest from investors and analysts to academics. The aim of this study is also to try to see the relationship between social media and investment decisions through text and financial analysis. In this study, the data was drawn through text mining via Twitter and the sentiment(sentiment) analysis and the status of the comments being positive or negative. For questioning the existence of the relationship between the numerical values obtained from the Sentiment analysis and the Bitcoin prices, which are an current and global investment tool, financial analyses such as Granger Cause Analysis were used.

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