Mitchell Bosley
Biographic Data
| ID | 1084435 |
|---|---|
| NAME | Mitchell Bosley |
| GIVEN NAMES | Mitchell |
| FAMILY NAME | Bosley |
| SIGNATURE | BOSLEY M |
| AFFILIATIONS | University of Toronto |
| ORCID | 0000-0002-9172-966X |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Improving Probabilistic Models In Text Classification Via Active Learning
Social scientists often classify text documents to use the resulting labels as an outcome or a predictor in empirical research. Automated text classification has become a standard tool since it requires less human coding. However, scholars still need many human-labeled documents for training. To reduce labeling costs, we propose a new algorithm for text classification that combines a probabilistic model with active learning. The probabilistic mod…
Improving Probabilistic Models In Text Classification Via Active Learning
Social scientists often classify text documents to use the resulting labels as an outcome or a predictor in empirical research. Automated text classification has become a standard tool since it requires less human coding. However, scholars still need many human-labeled documents for training. To reduce labeling costs, we propose a new algorithm for text classification that combines a probabilistic model with active learning. The probabilistic mod…
Improving Probabilistic Models In Text Classification Via Active Learning
Social scientists often classify text documents to use the resulting labels as an outcome or a predictor in empirical research. Automated text classification has become a standard tool since it requires less human coding. However, scholars still need many human-labeled documents for training. To reduce labeling costs, we propose a new algorithm for text classification that combines a probabilistic model with active learning. The probabilistic mod…
Active learning (machine learning (1 works) · Advanced Text Analysis Techniques (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Computer Science (1 works) · Machine learning (1 works) · Machine Learning and Data Classification (1 works) · Probabilistic logic (1 works) · Topic Modeling (1 works)