{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T23:50:15Z","timestamp":1773791415094,"version":"3.50.1"},"reference-count":60,"publisher":"Emerald","issue":"13","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,11,19]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>This study aims to enhance the classification and processing of online appeals by employing a deep-learning-based method. This method is designed to meet the requirements for precise information categorization and decision support across various management departments.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design\/methodology\/approach<\/jats:title>\n                    <jats:p>This study leverages the ALBERT\u2013TextCNN algorithm to determine the appropriate department for managing online appeals. ALBERT is selected for its advanced dynamic word representation capabilities, rooted in a multi-layer bidirectional transformer architecture and enriched text vector representation. TextCNN is integrated to facilitate the development of multi-label classification models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>Comparative experiments demonstrate the effectiveness of the proposed approach and its significant superiority over traditional classification methods in terms of accuracy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Originality\/value<\/jats:title>\n                    <jats:p>The original contribution of this study lies in its utilization of the ALBERT\u2013TextCNN algorithm for the classification of online appeals, resulting in a substantial improvement in accuracy. This research offers valuable insights for management departments, enabling enhanced understanding of public appeals and fostering more scientifically grounded and effective decision-making processes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1108\/k-04-2024-1050","type":"journal-article","created":{"date-parts":[[2024,7,28]],"date-time":"2024-07-28T10:57:50Z","timestamp":1722164270000},"page":"7285-7301","source":"Crossref","is-referenced-by-count":3,"title":["Data-driven decision-making method for determining the handling department for online appeals"],"prefix":"10.1108","volume":"54","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7567-1816","authenticated-orcid":true,"given":"Sheng-Qun","family":"Chen","sequence":"first","affiliation":[{"name":"School of Information Engineering, Fujian Business University , ,","place":["Fuzhou, China"]},{"name":"Fujian Provincial Universities Engineering Research Center of Big Data Analytics for Business Intelligence, Fujian Business University , ,","place":["Fuzhou, China"]}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9649-3878","authenticated-orcid":true,"given":"Ting","family":"You","sequence":"additional","affiliation":[{"name":"School of Design Innovation, Fujian Jiangxia University , ,","place":["Fuzhou, China"]}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4059-3982","authenticated-orcid":true,"given":"Jing-Lin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Fujian Business University , ,","place":["Fuzhou, China"]},{"name":"Fujian Provincial Universities Engineering Research Center of Big Data Analytics for Business Intelligence, Fujian Business University , ,","place":["Fuzhou, China"]}]}],"member":"140","published-online":{"date-parts":[[2024,7,30]]},"reference":[{"key":"2025111702022569600_ref001","volume-title":"Influence and Countermeasure Research about Network Public Opinion on Petition Work - in Yueqing of Wenzhou as an Example","author":"Bao","year":"2015"},{"issue":"1","key":"2025111702022569600_ref002","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1017\/s1049096506060057","article-title":"Is the water rising? 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