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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
CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and ArabicCode0
Enhancing Sentence Embedding with Generalized PoolingCode0
Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted FeaturesCode0
BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media TextsCode0
Author Profiling for Abuse DetectionCode0
Bot and Gender Detection of Twitter Accounts Using Distortion and LSACode0
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