Gender Inference using Statistical Name Characteristics in Twitter
Table 7: Evaluation results for those data that where labeled in Step 1 by the threshold value showing the resulting performance values and the number of affected Twitter users (N).
['Dataset', 'N', 'AUC', 'ACC', 'REC', 'K']
But, only gender scores above the threshold value are relevant in Step 1. It is still possible that the nam_dict data is better in generating such scores. The data confirms that using the Census data results in better results in all four measures. Additionally, the gender score was able to label more Twitter users than with NamChar score.