Celebrity profiling through linguistic analysis of digital social networks

Computational Social Networks

Table 14 Model of the characteristic of the person Gender

Feature groups	Variable	Male		Nonbinary
Feature groups	Predictor	Estimator	P-value	Estimator	P-value
Lexical	(Intercept)	3.41	<0.001	− 1.97	0.562
	V1	0.02	<0.001	− 0.02	0.83
	V3	26.42	<0.001	− 483.78	<0.001
	V4	− 0.29	<0.001	− 0.75	0.402
Syntactic	V14	− 3.03	<0.001	3.27	0.002
	V15	− 2.45	<0.001	1.77	0.187
	V16	2.25	<0.001	− 5.03	0.112
	V17	− 1.32	<0.001	0.21	0.935
	V18	0.13	<0.001	− 0.13	0.415
Symbolic	V9	− 0.77	<0.001	− 0.48	0.363
Symbolic	V10	− 0.24	<0.001	− 1.6	0.055
Participation	V11	− 0.09	0.016	− 0.72	0.209
Participation	V13	− 0.46	<0.001	2.87	0.017
Complementary information	V12	− 1.02	<0.001	0.41	0.639
Residual deviance: 37703.85
AIC: 37763.85