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Improvement on emotional variance analysis technique (EVA) for sentiment analysis in healthcare service delivery
This research introduces an innovative approach to improving sentiment analysis in healthcare service delivery by integrating Emotion and Affect Recognition (EAR) techniques into Emotional Variance Analysis (EVA). Leveraging logistic regression, the modifications, including adjusting confidence thre...
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| Format: | Article |
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2024-05
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| LEADER | 00000njm a2000000a 4500 | ||
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| 001 | oai:repository.ui.edu.ng:123456789/11385 | ||
| 042 | |a dc | ||
| 720 | |a Agada, V. E. |e author | ||
| 720 | |a Ojo, A. K. |e author | ||
| 260 | |c 2024-05 | ||
| 520 | |a This research introduces an innovative approach to improving sentiment analysis in healthcare service delivery by integrating Emotion and Affect Recognition (EAR) techniques into Emotional Variance Analysis (EVA). Leveraging logistic regression, the modifications, including adjusting confidence thresholds and utilizing the Rectified Linear Unit (ReLU) function, aim to address high polarity and enable real-time analysis. The methodology outlines a systematic process for EAR integration, offering practical insights for healthcare practitioners. In this study, additional datasets, including the Healthcare Patient Satisfaction Data Collection, the 9 Popular Patient Portal App Reviews for November 2023, and the HCAHPS Hospital Ratings Survey, are incorporated to enhance the robustness and reliability of the approach. The results across three healthcare centers demonstrate the effectiveness of this augmented approach, with comparisons against existing models using performance metrics. While showcasing promising potential, further research is needed to explore scalability and generalizability. | ||
| 024 | 8 | |a https://repository.ui.edu.ng/handle/123456789/11385 | |
| 653 | |a Emotional Variance Analysis (EVA) | ||
| 653 | |a Healthcare Service Delivery | ||
| 653 | |a Emotion Recognition | ||
| 653 | |a Affect Recognition | ||
| 653 | |a Logistic Regression | ||
| 653 | |a Feature Scaling | ||
| 653 | |a Real-Time Analysis | ||
| 653 | |a Healthcare Reviews | ||
| 653 | |a Patient Satisfaction | ||
| 653 | |a Data Integration | ||
| 653 | |a Text Mining | ||
| 245 | 0 | 0 | |a Improvement on emotional variance analysis technique (EVA) for sentiment analysis in healthcare service delivery |