Digital Textual Analysis is a method used to study and interpret texts through digital tools and techniques. It involves analyzing large volumes of written content, such as books, articles, and social media posts, to uncover patterns, trends, and insights that may not be visible through traditional reading methods. This approach often employs computational linguistics and data visualization to help researchers understand language use, sentiment, and thematic elements across different texts. By leveraging technology, scholars can efficiently process and analyze vast amounts of data, leading to new discoveries in fields like literature, history, and cultural studies.