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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
An Algerian Corpus and an Annotation Platform for Opinion and Emotion Analysis—0
Profiling Bots, Fake News Spreaders and Haters—0
Constructing a Bilingual Corpus of Parallel Tweets—0
Proceedings of the Workshop on Resources and Techniques for User and Author Profiling in Abusive Language—0
BERT-Based Arabic Social Media Author Profiling—0
Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted FeaturesCode0
A Turkish Dataset for Gender Identification of Twitter Users—0
Exploring difference in public perceptions on HPV vaccine between gender groups from Twitter using deep learning—0
Bot and Gender Detection of Twitter Accounts Using Distortion and LSACode0
SNAP-BATNET: Cascading Author Profiling and Social Network Graphs for Suicide Ideation Detection on Social Media—0
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