The process of determining authorship involves recognizing the actual creator of a specific document or written piece. The primary objective of this task is to formulate a suitable methodology for characterizing documents that accurately captures the distinctive writing style of the author. This paper presents a new methodology for authorship attribution, underscoring the significance of considering the stylistic characteristics of texts in order to achieve precise author identification. Documents are defined through this method by analysing a set of word sequences and their organization, encompassing both functional and content-specific terms. In our research, we examine the various categories of characteristics and outline the procedures and standards for their extraction and selection. This research examines the approaches of supervised and unsupervised learning within the framework of authorship attribution. This paper presents a new methodology for authorship attribution, underscoring the significance of considering the stylistic characteristics of texts in order to achieve precise author identification.