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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
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
UMUTextStats: A linguistic feature extraction tool for Spanish—0
User-Centered Security in Natural Language Processing—0
Vector Space Model as Cognitive Space for Text Classification—0
A Comparative Analysis of Distributional Term Representations for Author Profiling in Social Media—0
Constructing a Bilingual Corpus of Parallel Tweets—0
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