A New Webliography of Text Mining Resources

The Science and Technology Resources on the Internet column in the Spring 2017 issue of Issues in Science and Technology Librarianship includes a webliography of text mining resources.
This useful resource was compiled and written by Kristen Cooper, a librarian at the award-winning University of Minnesota Libraries in Minneapolis. 
From the Webliography:

This webliography is intended as an overview for those in higher education, such as academic librarians, researchers, educators, and graduate students, who are interested in text mining but have little to no experience with it.
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Resources for the webliography were compiled from the author’s previous research, communications with fellow librarians experienced in text mining, and text mining library guides from the Universities of Southern California (2016), California San Diego (2016), Illinois at Urbana-Champaign (2016), Duke (2016), and Chicago (2016) were consulted. In order to be included resources had to meet the following criteria:

• Available in English,
• Available via library subscription or freely available,
• Information is published, maintained, and/or hosted by reputable source, and
• Explanations and examples are clear and appropriate for beginner

Resources are organized into the following sections:

• Overview
• Audience
• Scope and Methods
• Vocabulary
• Introductory Resources
• Sources of Text
  • Library Databases
• Online Sources
• Tools
  • Web-Based
  • Desktop
  • Apps
  • Programming
  • Bisualization
• References

Direct to Full Text: “Text Mining” by Kristen Cooper

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