Semi-Automated Text Classification for Sensitivity Identification
Author:
Affiliation:
1. Consiglio Nazionale delle Ricerche, Pisa, Italy
2. University of Glasgow, Glasgow, United Kingdom
3. Qatar Computing Research Institute, Doha, Qatar
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2806416.2806597
Reference11 articles.
1. A study of the behavior of several methods for balancing machine learning training data
2. A utility-theoretic ranking method for semi-automated text classification
3. Document Difficulty Framework for Semi-automatic Text Classification
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