Table 5 Gender-specific thesaurus-based feature
From: The construction of Chinese microblog gender-specific thesauruses and user gender classification
|  | θ=1.1 | θ=2.0 | θ=3.0 | θ=4.0 | ||||
|---|---|---|---|---|---|---|---|---|
Sex_label | Male | Female | Male | Female | Male | Female | Male | Female |
English_num | 16316 | 10668 | 11370 | 4466 | 6646 | 2370 | 4309 | 1391 |
Noun_num | 8475 | 5753 | 6333 | 2307 | 3555 | 1187 | 2229 | 724 |
Adj_num | 1054 | 847 | 546 | 287 | 270 | 139 | 151 | 75 |
Prep_num | 33 | 11 | 15 | 0 | 7 | 0 | 3 | 0 |
Pron_num | 214 | 123 | 132 | 45 | 73 | 25 | 43 | 18 |
Verb_num | 7625 | 4277 | 4705 | 1436 | 2633 | 639 | 1627 | 353 |
Adv_num | 571 | 318 | 332 | 84 | 170 | 35 | 100 | 16 |
Int_num | 8 | 5 | 3 | 3 | 1 | 2 | 0 | 2 |
Idiom_num | 1565 | 1236 | 1068 | 457 | 535 | 217 | 283 | 128 |
Symbol_num | 619 | 465 | 437 | 228 | 256 | 154 | 183 | 112 |
Others | 6685 | 3962 | 4501 | 1438 | 2529 | 685 | 1534 | 405 |