Research Guides: Text Mining Resources: Tools and Library Resources

Tools

Text mining and analysis is often done in a programming environment such as Python or using statistical analysis tools such as R. The tools listed below provide a lower level option for more basic mining or analysis. Use the links on the right for comprehensive lists of text mining tools.

Lexos
Lexos is a web-based tool to help you explore your favorite corpus of digitized texts. Our primary motivation is to help you find the explorer spirit as you apply computational and statistical probes to your favorite collection of texts.
Social Media Macroscope
Open source tools developed by University of Illinois. Tools available include the Social Media Intelligence and Learning Environment (SMILE) and the Brand Analytics Environment (BAE)
Textalyser
Online text analyzer for providing statistics about your text.
Voyant
Web-based reading and analysis for digital texts.
Words and Phrase
Provides text analysis based on data from the Corpus of Contemporary American English

Library Resources

Princeton University Library's collection includes a variety of instructional resources for getting started in using more advanced tools such as Python or R.

Videos

O'Reilly Online (formerly Safari Tech Books) offers a variety of text mining and data science materials including e-books and videos.
Linked In Learning at Princeton University also offers short video courses on text mining and analytics.

Books and eBooks in the Library