There are many books, articles, videos, and other information sources that deal with TDM. This page aims to provide a starting point as well as select sources for keeping up with all things TDM. If you don't find what you need on this page, please contact your liaison librarian. In addition, please feel free to suggest sources for inclusion here.
I will first start with two blogs that include the most comprehensive list of web resources for anything text or data mining related, including analyitics, big data, and data science resources:
Below are a select list of specialized blogs:
There are hundreds of titles available at CMU libraries. Use "data mining" or "text mining" as a subject search to retrieve them.
Here are select titles available online to CMU faculty, staff, and students.
Bretts, Megan R. (2012). Topic Modeling: A Basic Introduction. Journal of Digital Humanities. 2(1).
Roth, Steffen (2014). Fashionable Functions: A Google Ngram View of Trends in Functional Differentiation (1800-2000).
International Journal of Technology and Human Interaction, 10(2), 34-58.