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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 31–40 of 58 papers

TitleStatusHype
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
Prompt-based Personality Profiling: Reinforcement Learning for Relevance Filtering—0
Recipient Profiling: Predicting Characteristics from Messages—0
SNAP-BATNET: Cascading Author Profiling and Social Network Graphs for Suicide Ideation Detection on Social Media—0
Social Media Analysis based on Semanticity of Streaming and Batch Data—0
Too good to be true? Predicting author profiles from abusive language—0
UL2C: Mapping User Locations to Countries on Arabic Twitter—0
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