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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
SNAP-BATNET: Cascading Author Profiling and Social Network Graphs for Suicide Ideation Detection on Social Media—0
A Comparative Analysis of Distributional Term Representations for Author Profiling in Social Media—0
Author Profiling for Hate Speech Detection—0
Guidelines and Annotation Framework for Arabic Author Profiling—0
Arap-Tweet: A Large Multi-Dialect Twitter Corpus for Gender, Age and Language Variety Identification—0
Author Profiling for Abuse DetectionCode0
Enhancing Sentence Embedding with Generalized PoolingCode0
Gender Prediction in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System—0
A visual approach for age and gender identification on Twitter—0
Author Profiling from Facebook Corpora—0
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