The book "Data Analytics in Digital Humanities" provides a comprehensive overview of innovative methods and technologies in the field of digital humanities. It addresses various aspects of data processing, including data collection, data analysis, data visualization, and presentation. The authors, who come from diverse disciplines and regions, share their experiences and insights on topics such as the semantic web for the appreciation of cultural heritage, machine learning for parody detection, psychological text analysis, and the use of crowdsourcing for image coding in natural disasters. This academic book is aimed at researchers and scholars interested in the application of methods and analyses in the humanities, as well as professionals such as librarians and archivists who can benefit from the content covered.