Table 5.

F1-score values obtained by using the TF-IDF word representation method, with different parameters, of the KNN algorithm.

		k=2	k=3	k=4	k=5	k=6	k=7	k=8
All	Manhattan	0.75	0.74	0.75	0.74	0.75	0 .75	0.76
	Euclidean	0.77	0.80	0.80	0.81	0.82	0.82	0.83
	Minkowski	0.74	0.78	0.78	0.77	0.77	0.76	0.76
Topic-1	Manhattan	0.69	0.73	0.74	0.73	0.73	0.71	0.69
	Euclidean	0.66	0.73	0.72	0.77	0.77	0.78	0.78
	Minkowski	0.65	0.72	0.73	0.74	0.74	0.74	0.73
Topic-2	Manhattan	0.71	0.73	0.74	0.75	0.75	0.75	0.76
	Euclidean	0.75	0.78	0.78	0.79	0.79	0.80	0.81
	Minkowski	0.75	0.76	0.77	0.74	0.75	0.73	0.74
Topic-3	Manhattan	0.72	0.73	0.73	0.73	0.73	0.72	0.74
	Euclidean	0.78	0.8	0.81	0.82	0.82	0.82	0.83
	Minkowski	0.71	0.73	0.74	0.69	0.69	0.62	0.65