Evolving techniques in sentiment analysis: a comprehensive review. [PDF]
Kumar M, Khan L, Chang HT.
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Podcasts in health education—Insights from a scoping review and survey
Abstract Podcasts have rapidly emerged as a powerful tool for health communication, especially since the COVID‐19 pandemic. While evidence shows that podcasts can enhance student knowledge, confidence, and flexibility in learning, their educational impact is primarily studied within formal academic contexts.
Matthew J. Barton+2 more
wiley +1 more source
Leveraging BiLSTM-CRF and adversarial training for sentiment analysis in nature-based digital interventions: Enhancing mental well-being through MOOC platforms. [PDF]
Zang J.
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Abstract Worldviews influence research—from design to interpretation and reporting. Historically, psychometrics has been predominantly situated within a positivist paradigm, while social research has often aligned with interpretivist or critical paradigms. However, emerging perspectives in the philosophy‐of‐science are challenging this rigid alignment,
Michelle D. Lazarus+4 more
wiley +1 more source
Semantic enhancement and cross-modal interaction fusion for sentiment analysis in social media. [PDF]
Mu G, Chen Y, Li X, Dai L, Dai J.
europepmc +1 more source
Abstract Qualitative research is increasingly engaged in anatomical sciences education research. However, many in the discipline are not formally trained in qualitative methodology and—like other research methods—qualitative methods are continually developed and enhanced.
Angelique N. Dueñas+2 more
wiley +1 more source
Improved graph convolutional network for emotion analysis in social media text. [PDF]
Khemani B, Patil S, Malave S, Gupta J.
europepmc +1 more source
Equity and reliability of public electric vehicle charging stations in the United States. [PDF]
Yu Q+7 more
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Supporting doctors' professional identity development through specialist training
Abstract Anatomy‐centric specialties such as surgery, radiology, and anatomical pathology (AP) have workforce shortages, with attrition during the training phase proposed as a contributing factor. Current understanding of the reasons behind trainee attrition is limited, and there have been calls to increase the depth and richness of research in this ...
Shemona Y. Rozario+3 more
wiley +1 more source
Assessing ML classification algorithms and NLP techniques for depression detection: An experimental case study. [PDF]
Lorenzoni G+4 more
europepmc +1 more source