Читать книгу An Introduction to Text Mining - Gabe Ignatow - Страница 8

An Introduction to Text Mining grew out of our earlier SAGE methods guidebook Text Mining, which is a shorter volume intended to serve as a practical guidebook for graduate students and professional researchers. The two books share both a core mission and structure. Their mission is to enable readers to make better informed decisions about research projects that use text mining and text analysis methodologies. And they both survey text mining tools developed in multiple disciplines within the social sciences, humanities, and computer science.

Where Text Mining was intended for advanced students and researchers, the current volume is a dedicated undergraduate or first-year graduate textbook intended for use in social science and data science courses. This book is thus longer than Text Mining, as it includes new material related to ethical and epistemological considerations in text-based research. There is a new chapter on how to write text-based social science research papers. And there are appendices that list and review data sources and software for preparing, cleaning, organizing, analyzing, and visualizing patterns in texts. Although these appendices were intended for students in undergraduate courses we suspect that they will prove valuable for experienced researchers as well.

GI and RM