Text Mining Workshop
Text mining, also referred to as text data mining, roughly equivalent to text analytics, is the process of deriving high-quality information from text. Text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output. Typical text mining tasks include text categorization, text clustering, concept/entity extraction, production of granular taxonomies, sentiment analysis, document summarization, and entity relation modeling.
Elizabeth Joan Kelly is the Digital Programs Coordinator at the Monroe Library at Loyola University. She has been employed at the library since 2010 and manages the library's digital programs including digital collections and preservation, digital scholarship, scholarly communications, and library web services. Her research interests include digital library and archives assessment, particularly the reuse of digital library objects, as well as library pedagogy. Recent publications on these subjects include articles in the The Journal of Web Librarianship, The Journal of Contemporary Archival Studies, College & Undergraduate Libraries, Codex, and Archival Practice, among others. Elizabeth has also presented widely on these topics at conferences and annual meetings.
Lunch will be provided.
- Led by: Elizabeth Kelly (Monroe Library, Loyola University)
- Date: Wednesday, March 13, 2019
- Time: 10:00 AM - 1:00 PM
- Location: CAT+FD Training Lab - LRC 532A
- Sponsor: Library Resource Center; Core Curriculum Enhancement
Tags: cce, dh, text-mining
Event ID: 01839
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