A. Tammaro, M. Tomaiuolo, M. Mordonini, Luca Calderini, Paolo D’Alessandro
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Abstract
Abstract During the pandemic, a consortium of libraries in the Milan area (Italy) interviewed the community and applied sentiment analysis to quickly understand the community’s feelings toward online services. The model compares both sentiment analysis and topic detection using algorithms that identify sentiments and topics. The results highlight the preference for paper books but the interest in learning more about digital services.
期刊介绍：
For more than twenty years, the International Information and Library Review has been welcomed by information scientists, librarians and other scholars and practitioners all over the world for its timely articles on research and development in international and comparative librarianship, information sciences, information policy and information ethics, digital values and digital libraries. Contributions to the journal have come from staff or members of many different international organizations, including the United Nations, UNESCO, IFLA, and INTAMEL, and from library and information scientists in academia, government, industry, and other organizations.
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