Article-cluster size (# of articles)
new weight
old weight
lower/upper
Articles count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
2
0.00
1.30
0.37/0.00
2.00
0.18
0.09
111.00
1.00
0.00
All clustering variants
Old ranking - len = 2
6 ■ 0.99/0.01 ■ 2 ■ 2.5
Best clustering variants
6 0.99/0.01 2 2.5
Parameters [48, 0.99, 0.01, 2] average weight 2.5 execution time 0.0s
NEW: semantic (merge_dist=0.35, adaptive=off) — 48 clusters
Cluster# (48)
new weight
old weight
lower/upper
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
0
3.48
11.91
0.00/0.07
2.00
1.25
0.62
465.00
1.50
0.25
5
3.32
9.58
0.00/0.19
2.00
1.48
0.74
81.00
6.00
4.00
1
2.75
12.01
0.00/0.16
2.00
1.41
0.71
255.00
21.50
6.25
11
1.74
12.64
0.00/0.10
2.00
1.30
0.65
515.00
17.50
30.25
2
1.12
13.96
0.00/0.15
2.00
1.40
0.70
599.00
20.50
132.25
41
0.00
0.00
0.00/0.00
1.00
0.00
0.00
242.00
3.00
0.00
47
0.00
0.00
0.00/0.00
1.00
0.00
0.00
91.00
4.00
0.00
27
0.00
0.00
0.00/0.00
1.00
0.00
0.00
159.00
5.00
0.00
42
0.00
0.00
0.00/0.00
1.00
0.00
0.00
108.00
6.00
0.00
43
0.00
0.00
0.00/0.00
1.00
0.00
0.00
185.00
7.00
0.00
32
0.00
0.00
0.00/0.00
1.00
0.00
0.00
199.00
8.00
0.00
37
0.00
0.00
0.00/0.00
1.00
0.00
0.00
195.00
9.00
0.00
46
0.00
0.00
0.00/0.00
1.00
0.00
0.00
205.00
10.00
0.00
39
0.00
0.00
0.00/0.00
1.00
0.00
0.00
175.00
11.00
0.00
29
0.00
0.00
0.00/0.00
1.00
0.00
0.00
117.00
13.00
0.00
35
0.00
0.00
0.00/0.00
1.00
0.00
0.00
49.00
14.00
0.00
33
0.00
0.00
0.00/0.00
1.00
0.00
0.00
128.00
15.00
0.00
30
0.00
0.00
0.00/0.00
1.00
0.00
0.00
96.00
16.00
0.00
44
0.00
0.00
0.00/0.00
1.00
0.00
0.00
123.00
17.00
0.00
34
0.00
0.00
0.00/0.00
1.00
0.00
0.00
158.00
18.00
0.00
45
0.00
0.00
0.00/0.00
1.00
0.00
0.00
62.00
20.00
0.00
24
0.00
0.00
0.00/0.00
1.00
0.00
0.00
72.00
21.00
0.00
38
0.00
0.00
0.00/0.00
1.00
0.00
0.00
109.00
22.00
0.00
28
0.00
0.00
0.00/0.00
1.00
0.00
0.00
68.00
5.00
0.00
13
0.00
0.00
0.00/0.00
1.00
0.00
0.00
90.00
6.00
0.00
36
0.00
0.00
0.00/0.00
1.00
0.00
0.00
148.00
7.00
0.00
25
0.00
0.00
0.00/0.00
1.00
0.00
0.00
25.00
10.00
0.00
17
0.00
0.00
0.00/0.00
1.00
0.00
0.00
96.00
11.00
0.00
40
0.00
0.00
0.00/0.00
1.00
0.00
0.00
85.00
12.00
0.00
19
0.00
0.00
0.00/0.00
1.00
0.00
0.00
123.00
13.00
0.00
21
0.00
0.00
0.00/0.00
1.00
0.00
0.00
113.00
14.00
0.00
26
0.00
0.00
0.00/0.00
1.00
0.00
0.00
41.00
15.00
0.00
18
0.00
0.00
0.00/0.00
1.00
0.00
0.00
70.00
16.00
0.00
23
0.00
0.00
0.00/0.00
1.00
0.00
0.00
202.00
17.00
0.00
31
0.00
0.00
0.00/0.00
1.00
0.00
0.00
12.00
18.00
0.00
20
0.00
0.00
0.00/0.00
1.00
0.00
0.00
103.00
33.00
0.00
22
0.00
0.00
0.00/0.00
1.00
0.00
0.00
71.00
34.00
0.00
15
0.00
0.00
0.00/0.00
1.00
0.00
0.00
57.00
21.00
0.00
9
0.00
0.00
0.00/0.00
1.00
0.00
0.00
90.00
22.00
0.00
14
0.00
0.00
0.00/0.00
1.00
0.00
0.00
67.00
23.00
0.00
12
0.00
0.00
0.00/0.00
1.00
0.00
0.00
55.00
24.00
0.00
16
0.00
0.00
0.00/0.00
1.00
0.00
0.00
67.00
25.00
0.00
8
0.00
0.00
0.00/0.00
1.00
0.00
0.00
79.00
26.00
0.00
10
0.00
0.00
0.00/0.00
1.00
0.00
0.00
110.00
27.00
0.00
7
0.00
0.00
0.00/0.00
1.00
0.00
0.00
107.00
28.00
0.00
6
0.00
0.00
0.00/0.00
1.00
0.00
0.00
78.00
29.00
0.00
3
0.00
0.00
0.00/0.00
1.00
0.00
0.00
76.00
30.00
0.00
4
0.00
0.00
0.00/0.00
1.00
0.00
0.00
79.00
31.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
0
0.00/0.07
3.48
11.91
2.00
1.25
0.62
465.00
1.50
0.25
Simi | Wt/Ln | TimeC | Datetime | S# | S-Id | Text
0.62 | 8.88 | 1.00 | 26-10-01 15:01 | 1 | 0 | Шпанскиот возач Маверик Вињалес се враќа во МотоГП за Големата награда на Јапонија во Мотеги по речиси три месеци пауза.
0.62 | 8.88 | 1.00 | 26-10-01 15:01 | 2 | 1 | Возачот на КТМ Tech3, кој ги пропушти последните пет трки поради повреда на десното рамо, ...апонија во Мотеги по речиси три месеци пауза.
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
5
0.00/0.19
3.32
9.58
2.00
1.48
0.74
81.00
6.00
4.00
Simi | Wt/Ln | TimeC | Datetime | S# | S-Id | Text
0.74 | 7.07 | 1.00 | 26-10-01 14:42 | 4 | 27 | SE CUMPLE UN AÑO DESDE QUE.
0.74 | 7.07 | 1.00 | 26-10-01 14:42 | 8 | 28 | SE CUMPLE UN AÑO DESDE QUE MARC MÁRQUEZ TOCÓ EL CIELO.
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
1
0.00/0.16
2.75
12.01
2.00
1.41
0.71
255.00
21.50
6.25
Simi | Wt/Ln | TimeC | Datetime | S# | S-Id | Text
0.71 | 8.78 | 1.00 | 26-10-01 15:01 | 19 | 18 | No era una opción operarme" #JapanGP #MotoGP pic.twitter.com/17NdfQjzbg — DAZN España (@DA...ам дека мојата приказна во МотоГП е завршена.
0.71 | 8.78 | 1.00 | 26-10-01 15:01 | 24 | 23 | No era una opción operarme" #JapanGP pic.twitter.com/17NdfQjzbg — DAZN España (@DAZN_ES).
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
11
0.00/0.10
1.74
12.64
2.00
1.30
0.65
515.00
17.50
30.25
Simi | Wt/Ln | TimeC | Datetime | S# | S-Id | Text
0.65 | 10.01 | 1.00 | 26-10-01 15:01 | 12 | 11 | Maverick returns to racing at Motegi, but remains unsure where he stands with KTM #MotoGP ...воопшто нема да се натпреварувам оваа сезона.
0.65 | 10.01 | 1.00 | 26-10-01 15:01 | 23 | 22 | Maverick returns to racing at Motegi, but remains unsure where he stands with KTM #MotoGP ... el año que viene me habéis dejado sin sitio.
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
2
0.00/0.15
1.12
13.96
2.00
1.40
0.70
599.00
20.50
132.25
Simi | Wt/Ln | TimeC | Datetime | S# | S-Id | Text
0.70 | 11.14 | 1.00 | 26-10-01 14:42 | 9 | 29 | Una última vuelta para la historia, para emocionarnos y ponernos los pelos de punta con la... во Мотеги со водство од повеќе од 100 поени.
0.70 | 11.14 | 1.00 | 26-10-01 14:42 | 32 | 52 | Una última vuelta para la historia, para emocionarnos y ponernos los pelos de punta con la...ya dengan makin ramai pelumba mampu mencabar.
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
41
0.00/0.00
0.00
0.00
1.00
0.00
0.00
242.00
3.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
47
0.00/0.00
0.00
0.00
1.00
0.00
0.00
91.00
4.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
27
0.00/0.00
0.00
0.00
1.00
0.00
0.00
159.00
5.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
42
0.00/0.00
0.00
0.00
1.00
0.00
0.00
108.00
6.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
43
0.00/0.00
0.00
0.00
1.00
0.00
0.00
185.00
7.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
32
0.00/0.00
0.00
0.00
1.00
0.00
0.00
199.00
8.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
37
0.00/0.00
0.00
0.00
1.00
0.00
0.00
195.00
9.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
46
0.00/0.00
0.00
0.00
1.00
0.00
0.00
205.00
10.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
39
0.00/0.00
0.00
0.00
1.00
0.00
0.00
175.00
11.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
29
0.00/0.00
0.00
0.00
1.00
0.00
0.00
117.00
13.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
35
0.00/0.00
0.00
0.00
1.00
0.00
0.00
49.00
14.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
33
0.00/0.00
0.00
0.00
1.00
0.00
0.00
128.00
15.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
30
0.00/0.00
0.00
0.00
1.00
0.00
0.00
96.00
16.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
44
0.00/0.00
0.00
0.00
1.00
0.00
0.00
123.00
17.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
34
0.00/0.00
0.00
0.00
1.00
0.00
0.00
158.00
18.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
45
0.00/0.00
0.00
0.00
1.00
0.00
0.00
62.00
20.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
24
0.00/0.00
0.00
0.00
1.00
0.00
0.00
72.00
21.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
38
0.00/0.00
0.00
0.00
1.00
0.00
0.00
109.00
22.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
28
0.00/0.00
0.00
0.00
1.00
0.00
0.00
68.00
5.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
13
0.00/0.00
0.00
0.00
1.00
0.00
0.00
90.00
6.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
36
0.00/0.00
0.00
0.00
1.00
0.00
0.00
148.00
7.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
25
0.00/0.00
0.00
0.00
1.00
0.00
0.00
25.00
10.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
17
0.00/0.00
0.00
0.00
1.00
0.00
0.00
96.00
11.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
40
0.00/0.00
0.00
0.00
1.00
0.00
0.00
85.00
12.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
19
0.00/0.00
0.00
0.00
1.00
0.00
0.00
123.00
13.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
21
0.00/0.00
0.00
0.00
1.00
0.00
0.00
113.00
14.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
26
0.00/0.00
0.00
0.00
1.00
0.00
0.00
41.00
15.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
18
0.00/0.00
0.00
0.00
1.00
0.00
0.00
70.00
16.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
23
0.00/0.00
0.00
0.00
1.00
0.00
0.00
202.00
17.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
31
0.00/0.00
0.00
0.00
1.00
0.00
0.00
12.00
18.00
0.00
Simi | Wt/Ln | TimeC | Datetime | S# | S-Id | Text
0.00 | 0.00 | 1.00 | 26-10-01 14:42 | 18 | 38 | #JapaneseGP.
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
20
0.00/0.00
0.00
0.00
1.00
0.00
0.00
103.00
33.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
22
0.00/0.00
0.00
0.00
1.00
0.00
0.00
71.00
34.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
15
0.00/0.00
0.00
0.00
1.00
0.00
0.00
57.00
21.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
9
0.00/0.00
0.00
0.00
1.00
0.00
0.00
90.00
22.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
14
0.00/0.00
0.00
0.00
1.00
0.00
0.00
67.00
23.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
12
0.00/0.00
0.00
0.00
1.00
0.00
0.00
55.00
24.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
16
0.00/0.00
0.00
0.00
1.00
0.00
0.00
67.00
25.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
8
0.00/0.00
0.00
0.00
1.00
0.00
0.00
79.00
26.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
10
0.00/0.00
0.00
0.00
1.00
0.00
0.00
110.00
27.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
7
0.00/0.00
0.00
0.00
1.00
0.00
0.00
107.00
28.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
6
0.00/0.00
0.00
0.00
1.00
0.00
0.00
78.00
29.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
3
0.00/0.00
0.00
0.00
1.00
0.00
0.00
76.00
30.00
0.00
Sentence-cluster ID (count= 48)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
4
0.00/0.00
0.00
0.00
1.00
0.00
0.00
79.00
31.00
0.00
OLD: TF-IDF K-Means (k=6) — 6 clusters
Cluster# (6)
new weight
old weight
lower/upper
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
4
1.74
12.64
0.00/0.10
2.00
1.30
0.65
515.00
17.50
30.25
5
1.12
13.96
0.00/0.15
2.00
1.40
0.70
599.00
20.50
132.25
3
0.38
10.50
16.22/0.27
37.00
4.47
0.12
4321.00
15.16
79.05
2
0.00
8.83
1.44/0.00
6.00
1.31
0.22
525.00
21.17
42.47
1
0.00
5.21
1.01/0.00
4.00
0.64
0.16
423.00
10.25
28.19
0
0.00
2.73
0.17/0.00
2.00
0.38
0.19
117.00
22.50
56.25
Sentence-cluster ID (count= 6)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
4
0.00/0.10
1.74
12.64
2.00
1.30
0.65
515.00
17.50
30.25
Simi | Wt/Ln | TimeC | Datetime | S# | S-Id | Text
0.65 | 10.01 | 1.00 | 26-10-01 15:01 | 12 | 11 | Maverick returns to racing at Motegi, but remains unsure where he stands with KTM #MotoGP ...воопшто нема да се натпреварувам оваа сезона.
0.65 | 10.01 | 1.00 | 26-10-01 15:01 | 23 | 22 | Maverick returns to racing at Motegi, but remains unsure where he stands with KTM #MotoGP ... el año que viene me habéis dejado sin sitio.
Sentence-cluster ID (count= 6)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
5
0.00/0.15
1.12
13.96
2.00
1.40
0.70
599.00
20.50
132.25
Simi | Wt/Ln | TimeC | Datetime | S# | S-Id | Text
0.70 | 11.14 | 1.00 | 26-10-01 14:42 | 9 | 29 | Una última vuelta para la historia, para emocionarnos y ponernos los pelos de punta con la... во Мотеги со водство од повеќе од 100 поени.
0.70 | 11.14 | 1.00 | 26-10-01 14:42 | 32 | 52 | Una última vuelta para la historia, para emocionarnos y ponernos los pelos de punta con la...ya dengan makin ramai pelumba mampu mencabar.
Sentence-cluster ID (count= 6)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
3
16.22/0.27
0.38
10.50
37.00
4.47
0.12
4321.00
15.16
79.05
Simi | Wt/Ln | TimeC | Datetime | S# | S-Id | Text
0.62 | 13.15 | 16.00 | 26-10-01 15:01 | 2 | 1 | Возачот на КТМ Tech3, кој ги пропушти последните пет трки поради повреда на десното рамо, ...апонија во Мотеги по речиси три месеци пауза.
0.82 | 13.15 | 16.00 | 26-10-01 15:01 | 3 | 2 | Возачот на КТМ Tech3, кој ги пропушти последните пет трки поради повреда на десното рамо, ...етал дека неговата сезона е целосно завршена.
0.31 | 4.64 | 16.00 | 26-10-01 15:01 | 8 | 7 | Најголемото разочарување за возачот доаѓа од фактот што официјалната одлука му беше соопшт...решетка за следната сезона веќе беа исцрпени.
0.31 | 4.64 | 16.00 | 26-10-01 15:01 | 9 | 8 | Во овој период, возачот беше подложен на конзервативен третман со плазма терапија за да из... неговата состојба постепено да се подобрува.
0.28 | 4.21 | 16.00 | 26-10-01 15:01 | 10 | 9 | По повлекувањето за време на тркачкиот викенд за Големата награда на Германија, Вињалес го...ден дека неговиот престој во МотоГП завршува.
0.26 | 3.90 | 16.00 | 26-10-01 15:01 | 7 | 6 | Сепак, проблемите со рамото и последователниот пад на формата го наведоа КТМ да го промени...ичката формација, туку и за сателитскиот тим.
0.29 | 3.80 | 21.00 | 26-10-01 14:42 | 27 | 47 | Кога станува збор за сопствената стратегија, Маркез не сака да прави пресметки за следната трка во Индонезија.
0.26 | 3.72 | 16.00 | 26-10-01 15:01 | 11 | 10 | Сепак, Штајнер неочекувано го повика со покана да учествува на тестовите на Ред Бул Ринг п...направи спринт симулација со добри резултати.
0.28 | 3.27 | 16.00 | 26-10-01 15:01 | 21 | 20 | Подобро би останал дома и да чекам можност отколку да одам во Супербајк.
0.22 | 3.16 | 16.00 | 26-10-01 15:01 | 1 | 0 | Шпанскиот возач Маверик Вињалес се враќа во МотоГП за Големата награда на Јапонија во Мотеги по речиси три месеци пауза.
0.20 | 2.71 | 21.00 | 26-10-01 14:42 | 7 | 26 | Шпанецот се враќа во Јапонија како еден од главните кандидати за титулата, но овој пат без...едност во поени што ја имаше минатата сезона.
0.20 | 2.71 | 21.00 | 26-10-01 14:42 | 13 | 33 | По проблемите со сопирачките што го мачеа за време на трката во Австрија, неговиот тим успеа да утврди што тргнало наопаку.
0.20 | 2.54 | 16.00 | 26-10-01 15:01 | 22 | 21 | Моето рамо повеќе нема да биде исто, но е целосно закрепнато за да се натпреварувам“, е категоричен Шпанецот.
0.14 | 1.85 | 21.00 | 26-10-01 14:42 | 6 | 25 | Мотеги беше местото на неговиот шампионски триумф, но денес ситуацијата е сосема поинаква.
0.14 | 1.85 | 21.00 | 26-10-01 14:42 | 11 | 31 | Ова е понормална борба за титулата“, рече Маркез пред почетокот на тркачкиот викенд во Јапонија.
0.11 | 1.24 | 21.00 | 26-10-01 14:42 | 21 | 41 | Конкуренцијата во Мотеги може да биде исклучително силна.
0.11 | 1.24 | 21.00 | 26-10-01 14:42 | 24 | 44 | „Секогаш сме таму, во првиот ред, се бориме за подиуми.
0.10 | 1.23 | 21.00 | 26-10-01 14:42 | 28 | 48 | Тој не размислува однапред колку поени може да освои во Јапонија, туку инсистира на пристап „трка по трка“.
0.09 | 1.22 | 16.00 | 26-10-01 15:01 | 13 | 12 | Бев крајно изненаден од поканата за тестот, а уште повеќе што ми дозволија да го тестирам моторот за следната година.
0.08 | 1.16 | 21.00 | 26-10-01 14:42 | 17 | 37 | Ова е многу важна трка и имам доверба во тимот“, нагласи шпанскиот ас. #MotoGP – Marc Marq...ya dengan makin ramai pelumba mampu mencabar.
0.08 | 0.93 | 21.00 | 26-10-01 14:42 | 12 | 32 | Возачот на Дукати пристигнува во азиската земја со дополнителна причина за оптимизам.
0.08 | 0.93 | 21.00 | 26-10-01 14:42 | 26 | 46 | Сè е многу порамномерно и мора да разбереме каде сме во моментов“, рече Маркез.
0.07 | 0.89 | 21.00 | 26-10-01 14:42 | 22 | 42 | Маркез ги издвојува Педро Акоста и Априлија, кои покажаа високо ниво на форма во Австрија.
0.03 | 0.49 | 16.00 | 26-10-01 15:01 | 19 | 18 | No era una opción operarme" #JapanGP #MotoGP pic.twitter.com/17NdfQjzbg — DAZN España (@DA...ам дека мојата приказна во МотоГП е завршена.
0.03 | 0.41 | 16.00 | 26-10-01 15:01 | 5 | 4 | Шпанецот не им верува ниту на шефовите на компанијата, ниту на Гинтер Штајнер, јавното лиц...а што го купи сателитскиот тим на КТМ, Tech3.
0.00 | 0.00 | 16.00 | 26-10-01 15:01 | 14 | 13 | Искрено, не го разбирам КТМ и што сакаат од мене.
0.00 | 0.00 | 16.00 | 26-10-01 15:01 | 18 | 17 | Maverick Viñales, la versión de KTM, descartar la operación… "Otra vez estar 6 meses para ... el año que viene me habéis dejado sin sitio.
0.00 | 0.00 | 16.00 | 26-10-01 15:01 | 24 | 23 | No era una opción operarme" #JapanGP pic.twitter.com/17NdfQjzbg — DAZN España (@DAZN_ES).
0.00 | 0.00 | 21.00 | 26-10-01 14:42 | 5 | 24 | Марк Маркез се враќа на местото кое минатата година испиша историја.
0.00 | 0.00 | 21.00 | 26-10-01 14:42 | 4 | 27 | SE CUMPLE UN AÑO DESDE QUE.
0.00 | 0.00 | 21.00 | 26-10-01 14:42 | 8 | 28 | SE CUMPLE UN AÑO DESDE QUE MARC MÁRQUEZ TOCÓ EL CIELO.
0.00 | 0.00 | 21.00 | 26-10-01 14:42 | 10 | 30 | Сега е многу понеизвесно.
0.00 | 0.00 | 21.00 | 26-10-01 14:42 | 18 | 38 | #JapaneseGP.
0.00 | 0.00 | 21.00 | 26-10-01 14:42 | 33 | 39 | Sokong pelumba kegemaran anda dengan kamera on-board, pelbagai sudut dan heli-cam , hanya di SPOTV NOW.
0.00 | 0.00 | 21.00 | 26-10-01 14:42 | 34 | 40 | pic.twitter.com/t44ljJJaLq — SPOTV Malaysia (@SPOTVMY) October 1, 2026.
0.00 | 0.00 | 21.00 | 26-10-01 14:42 | 23 | 43 | Сепак, тој верува дека Дукати сè уште има причина да биде оптимист.
0.00 | 0.00 | 21.00 | 26-10-01 14:42 | 25 | 45 | Не е исто како минатата година, но не е ни како претходните сезони.
Sentence-cluster ID (count= 6)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
2
1.44/0.00
0.00
8.83
6.00
1.31
0.22
525.00
21.17
42.47
Sentence-cluster ID (count= 6)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
1
1.01/0.00
0.00
5.21
4.00
0.64
0.16
423.00
10.25
28.19
Sentence-cluster ID (count= 6)
lower/upper
new weight
old weight
Sentence count
Total similarity
Avg. similarity
Total chr length
Sentence # average
Sentence # variation
0
0.17/0.00
0.00
2.73
2.00
0.38
0.19
117.00
22.50
56.25