Table 1.

Machine classification performance for cyber hate based on disability, race and sexual orientation (results rounded to 2dp)

	Religion (baseline)			Disability			Race			Sexual orientation
	P	R	F	P	R	F	P	R	F	P	R	F
n-Gram words 1 to 5 with 2,000 features	0.80 FP = 38	0.69 FN = 69	0.74	0.969 FP = 1	0.608 FN = 20	0.73	0.72 FP = 15	0.54 FN = 32	0.62	0.53 FP = 67	0.42 FN = 107	0.47
n-Gram hateful terms	0.89 FP = 19	0.66 FN = 75	0.76	0.00	0.00	0.00	0.93 FP = 3	0.53 FN = 33	0.67	1.00 FP = 0	0.098 FN = 165	0.18
n-Gram words (1-5) with 2,000 features + hateful terms	0.74 FP = 58	0.65 FN = 78	0.69	0.89 FP = 4	0.61 FN = 20	0.72	0.79 FP = 13	0.71 FP = 20	0.75	0.57 FP = 60	0.44 FN = 105	0.49
n-Gram typed dependencies	0.53 FP = 48	0.24 FP = 168	0.33	0.97 FP = 1	0.61 FP = 20	0.75	0.87 FP = 3	0.29 FN = 50	0.43	0.95 FP = 2	0.22 FN = 142	0.36
n-Gram typed dependencies+hateful terms	0.89 FP = 19	0.69 FN = 70	0.77	0.97 FP = 1	0.61 FP = 20	0.75	0.91 FP = 4	0.59 FN = 29	0.71	0.96 FP = 2	0.27 FN = 134	0.42
n-Gram words (1-5) with 2,000 features + n-Gram typed dependencies+hateful terms	0.89 FP = 19	0.69 FN = 70	0.77	0.97 FP = 1	0.61 FN = 20	0.75	0.87 FP = 7	0.66 FN = 24	0.75	0.72 FP = 25	0.35 FN = 119	0.47