Dokument-ID Dokumenttyp Verfasser/Autoren Herausgeber Haupttitel Abstract Auflage Verlagsort Verlag Erscheinungsjahr Seitenzahl Schriftenreihe Titel Schriftenreihe Bandzahl ISBN Quelle der Hochschulschrift Konferenzname Quelle:Titel Quelle:Jahrgang Quelle:Heftnummer Quelle:Erste Seite Quelle:Letzte Seite URN DOI Abteilungen OPUS4-3135 Wissenschaftlicher Artikel Frommholz, Ingo; Haider M., al-Khateeb; Potthast, Martin; Ghasem, Zinnar; Shukla, Mitul; Short, Emma On Textual Analysis and Machine Learning for Cyberstalking Detection Cyber security has become a major concern for users and businesses alike. Cyberstalking and harassment have been identified as a growing anti-social problem. Besides detecting cyberstalking and harassment, there is the need to gather digital evidence, often by the victim. To this end, we provide an overview of and discuss relevant technological means, in particular coming from text analytics as well as machine learning, that are capable to address the above challenges. We present a framework for the detection of text-based cyberstalking and the role and challenges of some core techniques such as author identification, text classification and personalisation. We then discuss PAN, a network and evaluation initiative that focusses on digital text forensics, in particular author identification. 8 Datenbank Spektrum 127 135 urn:nbn:de:gbv:wim2-20170418-31352 10.1007/s13222-016-0221-x In Zusammenarbeit mit der Bauhaus-Universität Weimar