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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
Cross-domain Author Gender Classification in Brazilian Portuguese—0
Efficient Social Network Multilingual Classification using Character, POS n-grams and Dynamic Normalization—0
Ensemble Maximum Entropy Classification and Linear Regression for Author Age Prediction—0
Exploring difference in public perceptions on HPV vaccine between gender groups from Twitter using deep learning—0
Feature Engineering in the NLI Shared Task 2013: Charles University Submission Report—0
Gender Prediction in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System—0
GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type Identification—0
Guidelines and Annotation Framework for Arabic Author Profiling—0
How Different Text-preprocessing Techniques Using The BERT Model Affect The Gender Profiling of Authors—0
How to Use less Features and Reach Better Performance in Author Gender Identification—0
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