Text mining is the process of using automation to analyze collections of textual materials in order to capture key concepts and themes and uncover hidden relationships and trends.
This distilled, structured information can be used to address questions such as:
How does Text Mining Work? (Elsevier, 1:34)
Unauthorized use of programming tools such as Python, Selenium, webcrawlers, bots, etc. to scrape database search results or journal content is in violation of many of our licenses and can result in access being shutdown to the entire university.
Please contact library@ucmerced.edu so that we can help you work with our vendors and to ensure what you are planning to do with potentially copyrighted texts complies with legal standards, including the publishing of your results.
Thank you to Stacy Reardon, UC Berkeley Literatures and Digital Humanities Librarian, for permission to use Text Mining & Computational Text Analysis as a model for this guide.