Abstract: Methods and systems for creating and analyzing encoded vector information from user activities relative to one or more services and/or devices are described. Sentiment analysis using natural language processing can be performed on user activity and a determination can be made as to whether the sentiment of a user account has fraudulent or benign sentiment. Should a fraudulent account sentiment be determined, mitigation measures may be taken including flagging and restricting a user account.