Apply Text Mining Analytics to Virtual Reference Services: A Case Study on the Email Q & A Service at an Academic Health Sciences Library
Public Deposited- Last Modified
- February 28, 2019
- Creator
-
Yu, Qichen
- Affiliation: School of Information and Library Science
- Abstract
- Academic libraries receive and reply numerous of patrons’ emails via their virtual reference service, such as Ask a Librarian. This paper presented a text mining approach to analyzing one-year email records accumulated from the Ask-a-Librarian service by the Health Science Library (HSL) at the University of North Carolina at Chapel Hill. This study will help HSL improve their email service by revealing key topics from user questions and the characteristics of user information seeking behavior.
- Date of publication
- April 2018
- Subject
- DOI
- Resource type
- Rights statement
- In Copyright
- Advisor
- Yu, Fei
- Degree
- Master of Science in Information Science
- Academic concentration
- Library and Information Science
- Degree granting institution
- University of North Carolina at Chapel Hill
- Graduation year
- 2018
- Language
- Deposit record
- 18ab42b2-82bc-4bbf-b8d5-dd4b36932f2a
Relations
- Parents:
This work has no parents.
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