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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 41–50 of 58 papers

TitleStatusHype
Social Media Analysis based on Semanticity of Streaming and Batch Data—0
Learning Multimodal Gender Profile using Neural Networks—0
We Built a Fake News / Click Bait Filter: What Happened Next Will Blow Your Mind!Code0
Vector Space Model as Cognitive Space for Text Classification—0
N-GrAM: New Groningen Author-profiling Model—0
Including Dialects and Language Varieties in Author Profiling—0
Author Profiling at PAN: from Age and Gender Identification to Language Variety Identification (invited talk)—0
On the Relevance of Syntactic and Discourse Features for Author Profiling and Identification—0
A Structured Self-attentive Sentence EmbeddingCode1
Efficient Social Network Multilingual Classification using Character, POS n-grams and Dynamic Normalization—0
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