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Machine learning and artificial intelligence are the futuristic approaches dominating all disciplines currently. Data analytics, data mining, and data science are some of the significant sub-domains with a strong market of research and jobs at the moment in the world. With a long leap from paper to digitization, the burden on libraries and librarians has increased to manage, organize, and generate knowledge from such a massive amount of data stored in their repositories/databases/websites. As libraries deal with a higher percentage of textual data daily, this book focuses primarily on textual data and presents various text mining approaches through a new lens.