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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 11–20 of 58 papers

TitleStatusHype
CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and ArabicCode0
UMUTextStats: A linguistic feature extraction tool for Spanish—0
Zero and Few-shot Learning for Author Profiling—0
Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users—0
How Different Text-preprocessing Techniques Using The BERT Model Affect The Gender Profiling of Authors—0
Preventing Author Profiling through Zero-Shot Multilingual Back-TranslationCode0
Unified and Multilingual Author Profiling for Detecting HatersCode0
UL2C: Mapping User Locations to Countries on Arabic Twitter—0
Too good to be true? Predicting author profiles from abusive language—0
Proceedings of the Workshop on Resources and Techniques for User and Author Profiling in Abusive Language—0
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