An Automated Text Categorization Framework based on Hyperparameter Optimization
Table 4: Author profiling: PAN2017 benchmark [21], all methods were scored with the official gold-standard. All scores are based on the accuracy computation over the specified subset of items.
['Method', 'Task', 'Arabic', 'English', 'Spanish', 'Portuguese', 'Avg.']
Please note that the result by Tellez et al. The plain μTC, as described in this manuscript, achieves accuracies of 0.7880 and 0.8849, respectively for gender and variety identification. The joint prediction of both classes achieves an accuracy of 0.7038.