{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T04:57:13Z","timestamp":1762145833754,"version":"3.41.2"},"reference-count":52,"publisher":"Emerald","issue":"5","license":[{"start":{"date-parts":[[2024,7,11]],"date-time":"2024-07-11T00:00:00Z","timestamp":1720656000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["EL"],"published-print":{"date-parts":[[2024,9,23]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>To address the shortcomings of existing academic user information needs identification methods, such as low efficiency and high subjectivity, this study aims to propose an automated method of identifying online academic user information needs.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>This study\u2019s method consists of two main parts: the first is the automatic classification of academic user information needs based on the bidirectional encoder representations from transformers (BERT) model. The second is the key content extraction of academic user information needs based on the improved MDERank key phrase extraction (KPE) algorithm. Finally, the applicability and effectiveness of the method are verified by an example of identifying the information needs of academic users in the field of materials science.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>Experimental results show that the BERT-based information needs classification model achieved the highest weighted average F1 score of 91.61%. The improved MDERank KPE algorithm achieves the highest F1 score of 61%. The empirical analysis results reveal that the information needs of the categories \u201cmethods,\u201d \u201cexperimental phenomena\u201d and \u201cexperimental materials\u201d are relatively high in the materials science field.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>This study provides a solution for automated identification of academic user information needs. It helps online academic resource platforms to better understand their users\u2019 information needs, which in turn facilitates the platform\u2019s academic resource organization and services.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/el-12-2023-0310","type":"journal-article","created":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T07:17:54Z","timestamp":1720509474000},"page":"741-765","source":"Crossref","is-referenced-by-count":1,"title":["A method of identifying domain-specific academic user information needs based on academic Q&amp;A 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