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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 21–30 of 58 papers

TitleStatusHype
Feature Engineering in the NLI Shared Task 2013: Charles University Submission Report—0
Gender Prediction in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System—0
GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type Identification—0
Guidelines and Annotation Framework for Arabic Author Profiling—0
How Different Text-preprocessing Techniques Using The BERT Model Affect The Gender Profiling of Authors—0
How to Use less Features and Reach Better Performance in Author Gender Identification—0
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
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