Cryptocurrency has been introduced as a relatively new financial system that is widely spread among traders and investors all over the globe. This type of digital currency is hugely attracting social media attention; users interact to share knowledge or to predict the price tendency whether it is bullish or bearish. Bitcoin, the leading cryptocurrency nowadays, has the highest market capitalization among other currencies. So any major change in its price tendency will definitely affect the whole market and therefore other coins’ prices will surely rise or fall accordingly. The biggest interest of all the traders around the world is to be alerted or aware of such major price tendency shifts, which may help them gain more profit or cut losses, or in either way predict the potential market movement of other digital currencies. It is reported that emotional interactions of the social media users especially on Twitter (one of the most globally used microblogging social networks especially related to cryptocurrency topics) have a great influence on the trend of the Bitcoin price. The huge number of daily active Twitter users with the enormous volume of tweets related to Bitcoin price tendency makes it remarkable regarding its impact on Bitcoin market interaction. In this thesis, we introduce a technique that will perform a sentimental analysis of Twitter tweets regarding Bitcoin price changes, predict the upcoming price tendency, and classify an awareness level to alert potential traders and investors about the potential market price shift changes.