Sentiment analysis and topic modeling in the context of scientific integrity: implications for teaching and research in higher education
Abstract In the contemporary digital era, upholding research integrity assumes paramount importance for the reputation of higher education institutions and the advancement of science. This study undertakes an interdisciplinary computational investigation into the emotional response of the public to...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-07441-z |
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