Year of Graduation
Using of Information fromTwitter for Market Abuse Detection
This research is aimed at applying automated methods for event analysis with using information from Twitter to detect illegal insider activity. In the course of the work, theoretical aspects of the problematic of the question were considered, which helped to determine the general direction of development of thought in this field. On the basis of data collection process was assembled algorithmic model with using the methods of machine learning, which allowed to achieve the tasks assigned to the research.