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Walker, Jeremy; Coleman, Jason – College & Research Libraries, 2021
This study aims to evaluate the effectiveness and potential utility of using machine learning and natural language processing techniques to develop models that can reliably predict the relative difficulty of incoming chat reference questions. Using a relatively large sample size of chat transcripts (N = 15,690), an empirical experimental design…
Descriptors: Artificial Intelligence, Natural Language Processing, Prediction, Library Services
Council on Library and Information Resources, 2023
This Proceedings document begins with the text of the keynote by Dr. Michelle Caswell, followed by seven papers, representing a sampling of the symposium presentations from the 2022 Digitizing Hidden Collections (DHC) Symposium, a capstone event for the Digitizing Hidden Special Collections and Archives program. This program was funded by the…
Descriptors: Electronic Libraries, Library Materials, Archives, Museums
Mungin, Michael – Journal of Library & Information Services In Distance Learning, 2017
In the five years following implementation of a chat reference service at James Madison University (JMU), the service proved very popular but was not closely assessed for quality of service. Using grounded theory and qualitative data analysis techniques, a comprehensive assessment effort was begun in earnest and is in progress. Preliminary results…
Descriptors: Academic Libraries, Reference Services, Synchronous Communication, Transcripts (Written Records)

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