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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 51–58 of 58 papers

TitleStatusHype
A Semi-Supervised Approach for Gender Identification—0
A Turkish Dataset for Gender Identification of Twitter Users—0
Author Profiling at PAN: from Age and Gender Identification to Language Variety Identification (invited talk)—0
Author Profiling for Hate Speech Detection—0
Author Profiling from Facebook Corpora—0
Authorship Attribution and Author Profiling of Lithuanian Literary Texts—0
Author-Specific Linguistic Patterns Unveiled: A Deep Learning Study on Word Class Distributions—0
A visual approach for age and gender identification on Twitter—0
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