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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
Author Profiling at PAN: from Age and Gender Identification to Language Variety Identification (invited talk)—0
Apprentissage bay\'esien incr\'emental pour la d\'etermination de l'\^age et du genre d'utilisateurs de plateformes du web social (UGC text-based age \& gender author profiling through incrementally semi-supervised bayesian learning)—0
Author Profiling for Hate Speech Detection—0
Author Profiling from Facebook Corpora—0
A visual approach for age and gender identification on Twitter—0
Author-Specific Linguistic Patterns Unveiled: A Deep Learning Study on Word Class Distributions—0
Authorship Attribution and Author Profiling of Lithuanian Literary Texts—0
BERT-Based Arabic Social Media Author Profiling—0
A Semi-Supervised Approach for Gender Identification—0
Constructing a Bilingual Corpus of Parallel Tweets—0
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