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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 1–10 of 58 papers

TitleStatusHype
A Synthetic Dataset for Personal Attribute InferenceCode2
Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author ProfilingCode1
SpanEmo: Casting Multi-label Emotion Classification as Span-predictionCode1
A Structured Self-attentive Sentence EmbeddingCode1
Author-Specific Linguistic Patterns Unveiled: A Deep Learning Study on Word Class Distributions—0
Recipient Profiling: Predicting Characteristics from Messages—0
BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media TextsCode0
Prompt-based Personality Profiling: Reinforcement Learning for Relevance Filtering—0
User-Centered Security in Natural Language Processing—0
GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type Identification—0
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