Authorship Attribution and Profiling

Authorship Attribution and Profiling is a research topic within Artificial Intelligence. Science Explorer counts 6.3k research works in it since 1952. 10.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on authorship attribution, stylometry, and user profiling in text, utilizing techniques such as text classification, machine learning, and forensic linguistics to analyze gender differences and language use in social media. The research aims to identify authors of anonymous texts, predict demographic attributes from online content, and study the linguistic uniqueness of individuals across different genres and languages.

• Authorship Attribution
• Stylometry
• Text Classification
• User Profiling
• Gender Differences
• Language Use
• Social Media Analysis
• Machine Learning
• Forensic Linguistics
• Author Identification