This practical book provides researchers strategic and practical guidance on using text mining methods to analyze large text collections more efficiently and productively.

Includes bibliographical references (pages 168-182) and index.

Digital Texts, Digital Social Science. Social science and the digital text revolution -- Research design strategies -- Text Mining Fundamentals. Web crawling and scraping -- Lexical resources -- Basic text processing -- Supervised learning -- Text Analysis Methods from the Humanities and Social Sciences. Thematic analysis, qualitative data analysis software, and visualization -- Narrative analysis -- Metaphor analysis -- Word and text relatedness -- Text classification -- Information extraction -- Information retrieval -- Sentiment analysis -- Topic models -- Text mining, text analysis, and the future of social science.Supervised learning -- Thematic analysis, qualitative data analysis software, and visualization -- Narrative analysis -- Metaphor analysis -- Word and text relatedness -- Text classification -- Information extraction -- Information retrieval -- Sentiment analysis -- Topic models -- Text mining, text analysis, and the future of social science.