SG11201406913VA - Text mining system, text mining method, and program - Google Patents

Abstract

(i2) mwu ft iz s-5 iv x m £ titz s issaj n d9) mm IHMMi _ (43) 2013 ^ 10 ^ 31 0 (31.10.2013) I P O I P C T (10) WO 2013/161850 A1 (51) G06F17/30 { 2006.01) (21) (22) (25) (26) 4>§fl(£> s In: PCT/JP2013/062002 2013^4^ 24 0(24.04.2013) (30) fiBfefix — £: 2012-101017 2012 ^ 4 .E 26 0(26.04.2012) JP (71) tiili® A:_0 CORPORATION) [JP/JP]; T 1088001 E 2S T I7f1^ Tokyo (JP). (72) ^ BJ # : ± H IE BJ (TSUCHIDA Masaaki); T 1088001 g 7S1^ 0^B Tokyo (JP). 5 J11 §0 (ISHIKAWA Kai); T 1088001 M JS. #5?§ E £ £ T g 7f1 § Tokyo (JP). m±(ON- ISHI Takashi); T 1088001 g 7# 1 •*§• Tokyo (JP). T> K -J — ~T $ — ^ (ANDRADE Daniel); T 1088001 isW2STg7Si^ ttl^l Tokyo (JP). (74) ftHA: 3£B(UDAKA Katsuki); T 1010025 -1 4izie ;i/5|Jg Tokyo (JP). (8i) Jt^ia (^ro&i^PBy, IS ^ PJ f £): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (84) *!£H (asrofci^isy > ±T(Dmm(Dfcm% V&tf nlfb): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, SZ, TZ, UG, ZM, ZW), n. — V [&£%] (54) Title: TEXT MINING SYSTEM, TEXT MINING METHOD, AND PROGRAM (54)^BJ(7)«^ : x + X X + X 20 IW] 21 f+Xh 21 22 22 3 3 T+Xhf-^ SHI*® (57) Abstract: This text mining system is provided with a synonym­ ous-cluster acquiring unit for acquiring a synonymous cluster, which is a col­ lection of items of text that are synonymous from among items of text in text data that are to be analyzed; an implicational relation acquiring unit for ac - quiring an implicational relation between synonymous clusters; and an im­ plication graph generating unit for generating an implication graph having a synonymous cluster as a vertex and including a directed edge indicating the direction of a synonymous cluster implied from an implied synonymous cluster. (57)^: ^fgBJCDx + X vXxAli, : ' ft tit ft + X h <t> ^ -5> Tt'Sll'l&ixt# nfl t, £TI,£ t ft £ M ft a £ # 9 7 7 £ ±f$.t & V 7 7 BP<!:> 2HliK.-g>o 1 Text data memory unit 2 Text mining device 3 Display device 20 Synonymous-cluster acquiring unit 21 Text implicational relation acquiring unit 22 Implication graph generating unit WO 2013/161850 A11 lllll llllllll II llllll III lllll lllll III III III lllll lllll lllll lllll lllll llll lllllll llll llll llll T (AM, AZ, BY, KG, KZ, RU, TJ, TM), 3 — \ (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, o, & (x ,\ GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, ~~ 21 *(3)} NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, ML, MR, NE, SN, TD, TG).