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Unlike traditional long comments after a show, BSCs are often incomplete, ambiguous in context, and correlated over time. Current studies in sentiment analysis of BSCs rarely address these challenges, motivating us to develop an aspect\u2010level sentiment analysis framework. Our framework, BSCNET, is a pre\u2010trained language encoder\u2010based deep neural classifier designed to enhance semantic understanding. A novel neighbor context construction method is proposed to uncover latent contextual correlation among BSCs over time, and we also incorporate semi\u2010supervised learning to reduce labeling costs. The framework increases F1 (Macro) and accuracy by up to 10% and 10.2%, respectively. Additionally, we have developed two novel downstream tasks. The first is noisy BSCs identification, which reached F1 (Macro) and accuracy of 90.1% and 98.3%, respectively, through fine\u2010tuning the BSCNET. The second is the prediction of future episode popularity, where the MAPE is reduced by 11%\u201319.0% when incorporating sentiment features. Overall, this study provides a methodology reference for aspect\u2010level sentiment analysis of BSCs and highlights its potential for viewing experience or forthcoming content optimization.<\/jats:p>","DOI":"10.1002\/asi.24800","type":"journal-article","created":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T09:09:29Z","timestamp":1685351369000},"page":"1026-1045","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Aspect sentiment mining of short bullet screen comments from online TV<\/scp> series"],"prefix":"10.1002","volume":"74","author":[{"given":"Jiayue","family":"Liu","sequence":"first","affiliation":[{"name":"School of Management Science and Engineering Key Laboratory of Big Data Management Optimization and Decision of Liaoning Province, Dongbei University of Finance and Economics Dalian China"}]},{"given":"Ziyao","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Management Science and Engineering Key Laboratory of Big Data Management Optimization and Decision of Liaoning Province, Dongbei University of Finance and Economics Dalian China"},{"name":"Institute of Systems Engineering, Dalian University of Technology Dalian China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-8502-1155","authenticated-orcid":false,"given":"Ming","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Management Science and Engineering Key Laboratory of Big Data Management Optimization and Decision of Liaoning Province, Dongbei University of Finance and Economics Dalian China"},{"name":"Center for Post\u2010doctoral Studies of Computer Science Northeastern University Shenyang China"}]},{"given":"Jiafu","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Management Science and Engineering Key Laboratory of Big Data Management Optimization and Decision of Liaoning Province, Dongbei University of Finance and Economics Dalian China"}]},{"given":"Weiguo","family":"Fan","sequence":"additional","affiliation":[{"name":"Tippie College of Business University of Iowa Iowa City Iowa USA"}]}],"member":"311","published-online":{"date-parts":[[2023,5,29]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99740-7_12"},{"key":"e_1_2_10_3_1","first-page":"241","volume-title":"International conference on advanced intelligent systems and informatics","author":"Ashi M. 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