6 To summarize, results suggest both that (1) legal and illegal texts are different in terms of their named entities and their coverage in Wikipedia, as well as that (2) standard databases and standard NLP tools for named entity recognition (and potentially other text understanding tasks), require considerable adaptation to be fully functional on text related to illegal activity.
the SVM model achieves an accuracy of 85.3% in the full setting.