Ivan Bilan – Automated Author Profiling


This talk will introduce the concepts of Author Identification, Author Obfuscation, and Author Profiling. The main focus is on Author Profiling, namely cross-genre Author Profiling of textual data gathered from social media. Tweets, blogs, and reviews you leave online can reveal your age, gender, personality traits and a lot more about you. Author Profiling is used to create a socio-demographic profile of an anonymous person by analyzing the texts they write using Natural Language Processing and Machine Learning. It is used in forensic suspect profiling, customer-base analysis, and targeted advertising. This talk will give you an overview of this research field from a perspective of a computational linguist.


Currently pursuing M.Sc. in Computational Linguistics at The Center for Information and Language Processing (LMU) and Honors Degree in Technology Management at the Center for Digital Technology and Management (TUM / LMU). Holding a B.A. in English and German Studies as well as B.Sc. in Computational Linguistics. After teaching English for a while, I started my IT journey as a GUI Developer at one of the LMU’s research labs, then moved to work on various data related problems for MobileX AG. Currently, I work as a part-time Data Engineer at TrustYou. Between work and studies, I do research on Author Profiling, Cross-lingual Lexical Substitution, and other strange sounding NLP problems.

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