Exploring film therapy in digital health: text mining study of Google search data
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| Veröffentlicht in: | Humanities & Social Sciences Communications vol. 12, no. 1 (Dec 2025), p. 1536 |
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Springer Nature B.V.
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| 024 | 7 | |a 10.1057/s41599-025-05841-5 |2 doi | |
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| 045 | 2 | |b d20251201 |b d20251231 | |
| 100 | 1 | |a Wang, Guoqing |u Universiti Sains Malaysia, Gelugor, Malaysia (GRID:grid.11875.3a) (ISNI:0000 0001 2294 3534) | |
| 245 | 1 | |a Exploring film therapy in digital health: text mining study of Google search data | |
| 260 | |b Springer Nature B.V. |c Dec 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Against the backdrop of the rapid development of digital health technology and the increasing prominence of mental health problems, film therapy as an innovative intervention method is gaining more and more attention. This study systematically collected information related to film therapy on the Google search platform and used multidimensional text mining technology to conduct an in-depth analysis of data sources, aiming to reveal the presentation characteristics and development trends of film therapy in cyberspace. Eight core topic categories were identified using the latent Dirichlet allocation (LDA) model, covering a complete spectrum from innovative treatment methods to diversified application scenarios, among which character emotional resonance and professional guidance became the two most prominent themes. Sentiment calculation analysis found that positive attitudes dominated the online discussions, with up to three-quarters of the content expressing positive evaluations and no negative emotional content appearing, reflecting the public’s widespread recognition of this treatment method. The results of the semantic association network construction showed that key concepts such as “therapy,” “movie,” “use,” and “people” formed a close semantic cluster, reflecting the inherent logic of the film therapy theory system and the systematic nature of the practice framework. Vocabulary frequency statistics further confirmed the high integration characteristics of treatment terms and film and television terms, indicating that this interdisciplinary field has formed a relatively mature discourse system. The research findings provide important empirical support and theoretical guidance for the standardized development of film therapy, the promotion of clinical applications, and the construction of a digital mental health service system. | |
| 653 | |a Public opinion | ||
| 653 | |a Television | ||
| 653 | |a Emotion recognition | ||
| 653 | |a Data mining | ||
| 653 | |a Mental health care | ||
| 653 | |a Intervention | ||
| 653 | |a Health problems | ||
| 653 | |a Social networks | ||
| 653 | |a Mental disorders | ||
| 653 | |a User generated content | ||
| 653 | |a Data processing | ||
| 653 | |a Data analysis | ||
| 653 | |a Internet | ||
| 653 | |a Medical technology | ||
| 653 | |a Documents | ||
| 653 | |a Mental health services | ||
| 653 | |a Treatment methods | ||
| 653 | |a Global health | ||
| 653 | |a Vocabulary | ||
| 653 | |a Natural language | ||
| 653 | |a Semantic association | ||
| 653 | |a Machine learning | ||
| 653 | |a Mental health promotion | ||
| 653 | |a Sentiment analysis | ||
| 653 | |a Interdisciplinary aspects | ||
| 653 | |a Motion pictures | ||
| 653 | |a Digital technology | ||
| 653 | |a Semantics | ||
| 653 | |a Emotions | ||
| 653 | |a Mass media images | ||
| 653 | |a Attitudes | ||
| 653 | |a Health education | ||
| 653 | |a Therapy | ||
| 653 | |a Mental health | ||
| 653 | |a Innovations | ||
| 653 | |a Medical treatment | ||
| 653 | |a Statistics | ||
| 700 | 1 | |a Yu, Yang |u Universiti Sains Malaysia, Gelugor, Malaysia (GRID:grid.11875.3a) (ISNI:0000 0001 2294 3534) | |
| 700 | 1 | |a Wang, Yipei |u Universiti Putra Malaysia, Serdang, Malaysia (GRID:grid.11142.37) (ISNI:0000 0001 2231 800X) | |
| 700 | 1 | |a Sabran, Kamal |u Universiti Sains Malaysia, Gelugor, Malaysia (GRID:grid.11875.3a) (ISNI:0000 0001 2294 3534) | |
| 773 | 0 | |t Humanities & Social Sciences Communications |g vol. 12, no. 1 (Dec 2025), p. 1536 | |
| 786 | 0 | |d ProQuest |t Social Science Database | |
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