Enhancing museum visitor forecasting using deep learning and sentiment analysis: A transformer-based approach for sustainable management.
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| Title: | Enhancing museum visitor forecasting using deep learning and sentiment analysis: A transformer-based approach for sustainable management. |
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| Authors: | Tian Z; Department of Art and Design, Daegu University, Gyeongsan, Gyeongbuk, South korea., Wang X; School of Business Administration, Binzhou Polytechnic, Binzhou City, Shandong Province, China., Wang Y; Department of Business Administration, Semyung University, Cultural Center 65 Semyung-ro, Jecheon-si, Chungcheongbuk-do, South korea., Lee JH; Department of Business Administration, Hanyang University, Seongdong-gu, Seoul, South korea. |
| Source: | PloS one [PLoS One] 2025 Nov 11; Vol. 20 (11), pp. e0335623. Date of Electronic Publication: 2025 Nov 11 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0335623 |
