Authorship attribution is a research area that focuses on identifying and determining the authorship of written texts based on linguistic patterns, style, and content. This field often relies on computational methods and machine learning algorithms to analyze and compare textual data in order to attribute a certain document to a particular author. Authorship attribution has diverse applications, including identifying anonymous or disputed authors, detecting plagiarism, and verifying the authenticity of historical manuscripts and legal documents.