ALAGIN (SVM)
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- ありさ みうら
- 7 years ago
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1 [5] Yahoo! Yahoo! (SVM) 3 F 7 7 (SVM) 3 F 6 0
2 ALAGIN (SVM) F
3 F F F F
4 ALAGIN
5 1 [5] Yahoo! Yahoo! Yahoo 1
6 Yahoo! 2
7 [1] ALAGIN [10] 2.1 ALAGIN F 0.86 F 0.91 F 6 7. [3] 3
8 2.1: F 1. n
9 [2] [6] Twitter
10 2.2 [5] [4] Yahoo! Yahoo! 5 5 ( URL URL) URL URL ( ) 6
11 ALAGIN ALAGIN [10] 6 URL [11] B A A B A B -, EB -, -, -, -, -, - PTSD, -, -, 3.1: - ( ) ( ) 7
![URL [11] B A A B 3.1 3.](/docs-images/41/22691461/images/page_11.jpg "2 A B -, EB -, -, -, -, -, -")
12 A B -, -, -, -, -, -, -, -, 2 - ND, - 3.2: - A B B A A B A B B A ,700, : ALAGIN (SVM) SVM 2 [7] 2 ( ) ( 3.4 ) ( ) [8],[9] 8
![3 6 100 58,700,000 3.3: ALAGIN 3.1.2 (SVM) SVM 2 [7] 2 ( ) ( 3.](/docs-images/41/22691461/images/page_12.jpg "4 ) ( ) 3.1 2 [8],[9] 8")
13 3.4: ( l ) f(x) = sgn α i y i K(x i, x) + b i=1 b = max i,y i = 1b i + min i,yi =1b i 2 l b i = α j y j K(x j, x i ) j=1 (3.1) x ( ) x i y i (i = 1,..., l, y i {1, 1}) sgn sgn(x) = 1 (x 0) (3.2) 1 (otherwise) α i (3.4) (3.5) (3.3) L(α) L(α) = l α i 1 l α i α j y i y j K(x i, x j ) (3.3) 2 i=1 i,j=1 0 α i C (i = 1,..., l) (3.4) 9
14 l α i y i = 0 (3.5) i=1 K (3.6) K(x, y) = (x y + 1) d (3.6) C, d C,d 1 α i > 0 x i (3.1) 2 3 [8] N (N(N-1)/2 ) 2 N(N-1)/
15 3.5: F (P) (R) F (F) T T T T P = T T T (3.7) 11
16 3.6: R = T T T (3.8) F = ( 1 P + 1 R 2 ) 1 (3.9) F 3.2 ALAGIN ALAGIN URL URL B A
17 3.7: ChaSen[12] SVM
18 ( ) 14
19 ChaSen SVM : : 676 IT 1,253 15
20 4 4.1 B A ALAGIN 746,432 1, : 1,
21 4.1: F F , : F 6 F 5 17
22 4.2: : F F 8 18
23 4.4: F F 0.82 (65/79) 0.69 (65/94) (33/55) 0.45 (33/73) (7/19) 0.32 (7/22) (26/36) 0.67 (26/39) (37/74) 0.41 (37/91) (13/21) 0.23 (13/56) (12/18) 0.34 (12/35) : F F 0.73 (91/125) 0.97 (91/94) (39/81) 0.53 (39/73) (16/38) 0.73 (16/22) (36/57) 0.92 (36/39) (91/300) 1.00 (91/91) (18/26) 0.32 (18/56) (35/44) 1.00 (35/35) : F F 0.31 (94/300) 1.00 (94/94) (73/300) 1.00 (73/73) (22/300) 1.00 (22/22) (39/300) 1.00 (39/39) (91/300) 1.00 (91/91) (56/300) 1.00 (56/56) (35/300) 1.00 (35/35)
24 5 8 [4] 7 [6] 20
25 6 F 5 7 F
26 C C 22
27 [1].. 19, pp , [2] Twitter., (NLC), NLC2014-1, pp.1-6, [3],,.. 18, pp , [4],.. 50 ( 72 ), pp , [5].., [6],,..., pp.53-60, [7] NL-144, pp , [8] Taku Kudoh TinySVM: Support Vector Machines, [9] Nello Cristianini, John Shawe-Taylor. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, Cambridge University Press, [10] ALAGIN : 23
28 [11] :, ( ) MASTAR. [12] ChaSen: 24
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