Sentiment analysis application for the cryptocurrency market

Today, with the ability to compile and store different types of data and to process these data, social media data has also started to be used in analysis. Data obtained from social media appears as unstructured data. While in traditional analysis methods, there is a condition for the data to be structured in order for a data to be processed, nowadays analyzes can be performed using unstructured data. The most effective area in which these analyzes are carried out is text mining. Sentiment analysis applications in text mining have become a rapidly growing research area. One of the most common methods used in the analysis of information stacks in social media is sentiment analysis applications. In the study, the reflection of the declines and rises in the crypto money market on the social media platform was analyzed by sentiment analysis.