Ivan Bilan – Automated Author Profiling

Abstract:

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.

Bio:

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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