Text Mining for Information Professionals
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Chapter 1

In this section:

  • Leverage Undergraduate Student Researchers to Deliver Text Data Mining Services to Library Users

  • University of Minnesota: Text as Data Practice group

  • Designing Enhanced Library OPAC through Text Analytics Tools: Integration of Koha and Voyant

Chapter 2

In this section:

  • The SF Nexus

  • Constellate: Text Analytics Platform

  • TDM Working Group at the University Libraries at Virginia Tech

Chapter 3

In this section:

  • Personal Experience

Chapter 4

In this section:

  • Subject Evaluation for Collection Mappings

  • Personal Experience

Chapter 5

In this section:

  • Visualizing Topic Networks in Personal Correspondence: The Richards/Turner Letters

  • Yewno Discover: A Next Generation Research Tool

Chapter 7

In this section:

  • Analysis of YouTube video contents on Koha and DSpace, and sentiment analysis of viewers’ comments

Chapter 8

In this section:

  • Natural Language Processing (NLP) for Sensory Science

  • Personal Experience

Chapter 9

In this section:

  • Personal Experience

  • Randall Library Dashboard

  • The Roles of Tableau and TXT in a Pre/Post COVID Longitudinal Inquiry of Archival Labor Trends

Stories

Librarians/faculty/archivists share their practical experience of using text mining in their libraries or research. Very short excerpts of their stories are shown on this website. Read the full story in the book!

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