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Author Profiling

Author profiling is the analysis of a given set of texts in an attempt to uncover various characteristics of the author based on stylistic- and content-based features, or to identify the author. Characteristics analysed commonly include age and gender, though more recent studies have looked at other characteristics, like personality traits and occupation.

Author profiling is one of the three major fields in automatic authorship identification (AAI), the other two being authorship attribution and authorship identification.

Papers

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Showing 41–50 of 58 papers

TitleStatusHype
Including Dialects and Language Varieties in Author Profiling—0
Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users—0
Learning Multimodal Gender Profile using Neural Networks—0
N-GrAM: New Groningen Author-profiling Model—0
On the Relevance of Syntactic and Discourse Features for Author Profiling and Identification—0
Proceedings of the Workshop on Resources and Techniques for User and Author Profiling in Abusive Language—0
Profiling Bots, Fake News Spreaders and Haters—0
Profiling-UD: a Tool for Linguistic Profiling of Texts—0
BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media TextsCode0
Bot and Gender Detection of Twitter Accounts Using Distortion and LSACode0
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