ࡱ> vxopqrstu_bjbj4bb ###8[#+Fqqq` B!d"4lnnnnnn$MZ:" @` :":"qq:"J/qql:"l8q)QZ.ȠX0ܠ(l:":":":":":":" :":":":":":":":":":":":":":":":" ? :!" !"  / !!! $ &  !! - "'! !""#" ("%'! # !"")  =AB8BCB 2B><0B8:8 8 KG8A;8B5;L=>9 "5E=8:8 0D54@0 #?@02;5=8O 8 =D>@<0B8:8 BG5B ?> ;01>@0B>@=K< @01>B0< ?> 48AF8?;8=5 59@>:><?LNB5@K 8 8E ?@8<8=5=85 !BC45=B 3@. -1-02 KA=8: .. @5?>4020B5;L C7=5F>2 ..  TOC \o "1-3" \h \z \u   HYPERLINK \l "_Toc165901376"  5H5=85 7040G8 CAB0=>2;5=8O A2O759 4;O <=>3><5@=>3> A;CG0O  PAGEREF _Toc165901376 \h 3  HYPERLINK \l "_Toc165901377" >AB0=>2:0 7040G8 4;O >4=><5@=>3> A;CG0O  PAGEREF _Toc165901377 \h 3  HYPERLINK \l "_Toc165901378" 5=5@0F8O 40==KE  PAGEREF _Toc165901378 \h 3  HYPERLINK \l "_Toc165901379"  5H5=85 7040G8 A ?><>ILN ?0:5B0 Statistica NN  PAGEREF _Toc165901379 \h 5  HYPERLINK \l "_Toc165901380" 8=59=0O A5BL  PAGEREF _Toc165901380 \h 6  HYPERLINK \l "_Toc165901381" =>3>A;>9=K9 ?5@A5?B@>= (2 A;>O)  PAGEREF _Toc165901381 \h 8  HYPERLINK \l "_Toc165901382" =>3>A;>9=K9 ?5@A5?B@>= (3 A;>O)  PAGEREF _Toc165901382 \h 10  HYPERLINK \l "_Toc165901383" !5BL =0 >A=>25 @0480;L=>9 1078A=>9 DC=:F88  PAGEREF _Toc165901383 \h 12  HYPERLINK \l "_Toc165901384" K1>@ =08;CGH59 A5B8  PAGEREF _Toc165901384 \h 13  HYPERLINK \l "_Toc165901385"  5H5=85 7040G8 CAB0=>2;5=8O A2O759 4;O <=>3><5@=>3> A;CG0O  PAGEREF _Toc165901385 \h 13  HYPERLINK \l "_Toc165901386" >AB0=>2:0 7040G8 4;O <=>3><5@=>3> A;CG0O  PAGEREF _Toc165901386 \h 13  HYPERLINK \l "_Toc165901387" 5=5@0F8O 40==KE  PAGEREF _Toc165901387 \h 14  HYPERLINK \l "_Toc165901388"  5H5=85 7040G8 2 Statistica NN  PAGEREF _Toc165901388 \h 14  HYPERLINK \l "_Toc165901389" !?8A>: 8A?>;L7>20==KE 8AB>G=8:>2  PAGEREF _Toc165901389 \h 17  HYPERLINK \l "_Toc165901390" @8;>65=85  PAGEREF _Toc165901390 \h 18  HYPERLINK \l "_Toc165901391" 8AB8=3 1. 5=5@0F8O 40==KE (4;O >4=><5@=>3> A;CG0O)  PAGEREF _Toc165901391 \h 18  HYPERLINK \l "_Toc165901392" 8AB8=3 2. 5=5@0F8O 40==KE (4;O <=>3><5@=>3> A;CG0O)  PAGEREF _Toc165901392 \h 18  5H5=85 7040G8 :;0AA8D8:0F8 B5:AB>2KE 4>:C<5=B>2 >AB0=>2:0 7040G8 4;O >4=><5@=>3> A;CG0O 5B>40<8 :;0AA8D8:0F88 A 8A?>;L7>20=85< =59@>==KE A5B59 1C45< @5H0BL 7040GC CAB0=>2;5=8O A2O78 <564C 2E>4=K<8 G8A;>2K<8 8 2KE>4=K< G8A;>2K< D0:B>@><.  :0G5AB25 2E>4=>3> D0:B>@0 2K15@5< :>;8G5AB2> B>3> 8;8 8=>3> A;>20 2 4>:C<5=B5.  :0G5AB25 2KE>4=>3> D0:B>@0 2K15@5< G8A;>2>9 D0:B>@: =><5@ 3@C??K, : :>B>@>9 >B=>A8BAO 40==K9 4>:C<5=B. 5>1E>48<> ?>AB@>8BL A5BL 4;O :;0AA8D8:0F88 7=0G5=89 2E>4=KE D0:B>@>2 ?> 70@0=55 8725AB=K< :;0AA0<, ?@54AB02;ONI8< A>1>9 7=0G5=8O 2KE>4=>3> D0:B>@0. 5=5@0F8O 40==KE 0@0=55 ?@>:;0AA8D8F8@>20==K5 4>:C<5=BK =5>1E>48<> ?@5>1@07>20BL 2 25:B>@0, M;5<5=B0<8 :>B>@KE O2;O5BAO :>;8G5AB2> B>3> 8;8 8=>3> A;>20 "5:AB ?@>3@0<<K ?@5>1@07>20=8O ?@82545= 2 ?@8;>65=88 ;8AB8=35 1. 5H5=85 7040G8 A ?><>ILN ?0:5B0 Statistica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figure 2. !>740=85 ;8=59=>9 A5B8. @0D8G5A:>5 ?@54AB02;5=85 40==>9 A5B8 >B>1@065=> =0 @8A. 3. !5BL 8<55B >48= 2E>4, GB> A>>B25BAB2C5B G8A;C 2E>4=KE ?5@5<5==KE, 8 5 2KE>4>2, GB> A>>B25BAB2C5B 8725AB=><C G8A;C :;0AA>2 @07185=8O 7=0G5=89 2E>4=>9 ?5@5<5==>9. >;8G5AB2> A;>52 2 A5B8 40==>3> B8?0 ?@8=F8?80;L=> @02=> 42C<, B.:. A5BL ?>4>1=>3> B8?0 =5 <>65B 8<5BL A:@KBKE A;>52.  8A.  SEQ figure 3. @0D8G5A:>5 ?@54AB02;5=85 ;8=59=>9 A5B8. >A;5 >1CG5=8O A5B8 A@54=5:204@0B8G5A:0O >H81:0 (40;55 - >H81:0) A>AB028;0 ?>@O4:0 0.01221 (A<. @8A. 3).   =>3>A;>9=K9 ?5@A5?B@>= (2 A;>O) >;55 A;>6=K< 284>< =59@>==>9 A5B8 O2;O5BAO A5BL B8?0 <=>3>A;>9=K9 ?5@A5?B@>=, 8A?>;L7CNI0O A83<>840;L=CN DC=:F8N 0:B820F88. ;0AA8D8:0F8O A ?><>ILN A5B8 40==>3> B8?0 2 >1I5< A;CG05 ?@54AB02;O5B A>1>9 @0745;5=85 :;0AA8D8F8@C5<KE 40==KE ?>A@54AB20< 38?5@?;>A:>AB59.  >B;8G88 >B ;8=59=>9 A5B8 2 40==>< A;CG05 2>7<>6=> 20@L8@>20BL G8A;> A;>52. K15@5< ?@>AB59H89 A;CG09 A 8A?>;L7>20=85< 2 A;>52. 80;>3 A>740=8O A5B8 8 55 3@0D8G5A:>5 ?@54AB02;5=85 >B>1@065=K =0 @8A. 4 8 @8A. 5 A>>B25BAB25==>.  8A.  SEQ figure 5. 80;>3 A>740=8O A5B8 B8?0 <=>3>A;>9=K9 ?5@A5?B@>=  8A.  SEQ figure 6. @0D8G5A:>9 ?@54AB02;5=85 A5B8 B8?0 <=>3>A;>9=K9 ?5@A5?B@>= A 2 A;>O<8 1CG5=85 A5B8 1C45< ?@>2>48BL ?> 0;3>@8B<C >1@0B=>3> @0A?@>AB@0=5=8O 2 B5G5=85 100 M?>E (A<. @8A. 6). @0D8: >1CG5=8O ?@82545= =0 @8A. 7. 0;L=59H55 C25;8G5=85 :>;8G5AB20 M?>E >1CG5=8O A F5;LN A=865=8O >H81:8 ?@54AB02;O5BAO =5F5;5A>>1@07=K<, B0: :0: ?>A;5 ?@81;878B5;L=> B@84F0B8 M?>E 7=0G5=85 >H81:8 ACI5AB25==K< >1@07>< =5 <5=O5BAO. 06=> >B<5B8BL, GB> >H81:0 =0 >1CG0NI59 2K1>@:5 8 40==KE 4;O :@>AA-?@>25@:8 ?@0:B8G5A:8 A>2?0405B (;8=88 Train 8 Verify =0 @8A. 8). -B> 405B 2>7<>6=>ABL CB25@640BL, GB> 2 A5B8 =5 ?@>8AE>48B ?5@5>1CG5=8O (overfitting).  set abc "123" 123 8A.  SEQ figure 7. 0@0<5B@K >1CG5=8O A5B8 ?> 0;3>@8B<C >1@0B=>3> @0A?@>AB@0=5=8O  8A.  SEQ figure 8. @0D8: >1CG5=8O A5B8 ?> 0;3>@8B<C >1@0B=>3> @0A?@>AB@0=5=8O 57C;LB0BK @01>BK A5B8 =0 B5AB>2KE 40==KE ?@82545=K =0 @8A. 9. @8 MB>< >H81:0 A>AB028;0 ?>@O4:0 0.01388, GB> ?@81;878B5;L=> A>>B25BAB2C5B @57C;LB0BC, ?>;CG5==><C A ?><>ILN ;8=59=>9 A5B8.  8A.  SEQ figure 9. "5AB8@>20=85 A5B8. =>3>A;>9=K9 ?5@A5?B@>= (3 A;>O) ! F5;LN C<5=LH5=8O >H81>: ?@8 @01>B5 A5B8 CA;>6=8< AB@C:BC@C A5B8 B8?0 <=>3>A;>9=K9 ?5@A5?B@>=, 8A?>;L7CO =5 420, 0 B@8 A;>O.  :0G5AB25 :>;8G5AB20 =59@>=>2 2 =>2>< (A:@KB><) A;>5 2K15@5< 1000. 80;>3 A>740=8O A5B8 8 55 3@0D8G5A:>5 ?@54AB02;5=85 >B>1@065=K =0 @8A. 10 8 @8A. 11 A>>B25BAB25==>.  8A.  SEQ figure 10. 80;>3 A>740=8O A5B8 B8?0 <=>3>A;>9=K9 ?5@A5?B@>=  8A.  SEQ figure 11. @0D8G5A:>9 ?@54AB02;5=85 A5B8 B8?0 <=>3>A;>9=K9 ?5@A5?B@>= A 2 A;>O<8 1CG5=85 A5B8 1C45< ?@>2>48BL ?> 0;3>@8B<C >1@0B=>3> @0A?@>AB@0=5=8O 2 B5G5=85 100 M?>E. @0D8: >1CG5=8O ?@82545= =0 @8A. 12. 57C;LB0BK @01>BK A5B8 =0 B5AB>2KE 40==KE ?@82545=K =0 @8A. 13. @8 MB>< >H81:0 A>AB028;0 ?>@O4:0 0.28, GB> O2;O5BAO EC4H8< @57C;LB0B>< ?> A@02=5=8N A 42CEA;>9=>9 A5BLN.  8A.  SEQ figure 12. @0D8: >1CG5=8O A5B8 ?> 0;3>@8B<C >1@0B=>3> @0A?@>AB@0=5=8O  8A.  SEQ figure 13. "5AB8@>20=85 A5B8. 0: ?@028;>, 4;O C<5=LH5=8O >H81:8 ?@>872>48BAO C25;8G5=85 G8A;0 A;>52 8 =59@>=>2 2 =8E. 4=0:> 2 40==>< A;CG05 ?>4>1=K9 ?>4E>4 =5 405B ACI5AB25==>3> C;CGH5=8O. !5BL =0 >A=>25 @0480;L=>9 1078A=>9 DC=:F88 ;0AA8D8:0F8O A 8A?>;L7>20=85< @0480;L=>9 1078A=>9 DC=:F88 2 >1I5< A;CG05 ?@54AB02;O5B A>1>9 ?>?KB:C @0745;5=8O :;0AA8D8F8@C5<KE 40==KE ?>A@54AB20< 38?5@AD5@. !>74048< B@5EA;>9=CN A5BL A 13 =59@>=0<8 2 A:@KB>< A;>5 (A<. @8A. 13). '8A;> 5@>=>2 1K;> >?@545;5=> ?@>3@0<<>9 Statistica NN 2 02B><0B8G5A:>< @568<5.  8A.  SEQ figure 14. 80;>3 A>740=8O A5B8 >A;5 >1CG5=8O 8 B5AB8@>20=8O A5B8 (A<. @8A. 15) 1K;0 ?>;CG5=0 >H81:0 ?>@O4:0 0.29, GB> ?@81;878B5;L=> A>>B25BAB2C5B @57C;LB0BC, ?>;CG5==><C =0 >A=>25 B@5EA;>9=>3> ?5@A5?B@>=0.  8A.  SEQ figure 15. "5AB8@>20=85 A5B8. K1>@ =08;CGH59 A5B8 K1>@ =08;CGH59 A5B8 1C45< ?@>872>48BL 87 :@8B5@852: <8=8<870F88 A@54=5:204@0B8G5A:>9 >H81:8; 4>AB865=8O <0:A8<0;L=> 2>7<>6=>9 ?@>AB>BK A5B8.  A>>B25BAB288 A ?5@2K< 87 C:070==KE :@8B5@852, ;CGH8<8 O2;ONBAO A5B8 =0 >A=>25 ;8=59=>9 1078A=>9 DC=:F88 8 42CEA;>9=>3> ?5@A5?B@>=0. =8 40NB ?@0:B8G5A:8 >48=0:>2K5 7=0G5=8O A@54=5:204@0B8G5A:>9 >H81:8. @8B5@89 ?@>AB>BK ?@82>48B : 2K1>@C A5B8 =0 >A=>25 42CEA;>9=>3> ?5@A5?B@>=0. @8;>65=85 8AB8=3  SEQ listing 1. 5=5@0F8O 40==KE (4;O >4=><5@=>3> A;CG0O) unit TextMiningDeluxeUnit; interface uses VerbalFileUnit, NumberFileUnit, TerminFileUnit; type TRecord = record Index : Integer; Value : Extended; end; TArray = array of TRecord; TTestingLearningCheck = record Testing : TTerminFileArray; Learning : TTerminFileArray; TestingTFIDF : array of array of Extended; LearningTFIDF : array of array of Extended; {4>:C<5=B -> A;>2>} TFDistanceMatrix : array of array of Extended; TFIDFDistanceMatrix : array of array of Extended; {B5AB>2K5 -> >1CG0NI885} end; TTextMiningProcessor = class {-B0? 0 - ?>;CG5=85 =0G0;L=KE 40==KE} {0G0;L=K5 40==K5 22>4OBAO ?@8 ?><>I8 A?5F80;L=>9 D>@<K, ?@8 =060B88 :=>?:8 "@8<5=8BL" :>B>@>9 >ACI5AB2;O5BAO 703@C7:0?0@0<5B@>2 2 ?5@5<5==K5 :;0AA0} {0G0;L=K5 40==K5: - A?8A>: D09;>2 8 A>>B25BAB2CNI8E 8< 3@C?? - 8<O D09;0 A> AB>?-A;>20<8 - <8=8<0;L=0O 4;8=0 A;>20 4;O C40;5=8O :>@>B:8E A;>2 - D;03 =5>1E>48<>AB8 ?@5>1@07>20=8O A;>2 2 8=D8=8B82K - :>;8G5AB2> 2K1>@>: - :>;8G5AB2> 4>:C<5=B>2 2 :;0AA5 >4=>9 2K1>@:8 - <8=8<0;L=>5 8 <0:A8<0;L=>5 7=0G5=85 8 H03 87<5=5=8O 0;LDK } public Files : array of String; Groups : array of Integer; StopWordsFileName : String; MinWordLength : Integer; MakeInfinitiv : Boolean; ChecksNumber : Integer; DocumentsNumber : Integer; MinAlpha, MaxAlpha, AlphaStep : Real; KMin, KMax : Integer; BestTFKBSParameters, BestTFIDFKBSParameters : array of Extended; BestTFPFParameters, BestTFIDFPFParameters : array of Extended; procedure Execute; private {$REGION 'private'} VerbalFiles : TVerbalFileArray; //8AE>4=K5 D09;K WordFiles : TVerbalFileArray; //A?8A:8 A;>2, ?>;CG5==K5 87 8AE>4=KE D09;>2 Documents : TVerbalFileArray; //@0745;5==K5 =0 4>:C<5=BK D09;K Vocabulary : TVerbalFile; NumberDocuments : TNumberFileArray; //4>:C<5=BK A 8=45:A0F859 // =5 C=8GB>60BL 4> :>=F0 @01>BK A Checks TerminDocuments : TTerminFileArray; //4>:C<5=BK A ?>AG8B0==K<8 B5@<8=0<8 Checks : array of TTerminFileArray; //=0G0;L=K5 2K1>@:8 4;O D>@<8@>20=8O B5AB>2KE 8 >1CG0NI8E 2K1>@>: (1>@=8@>20==K5 2K1>@:8) (AAK;:8 =0 TerminDocuments) TestingLearningChecks : array of TTestingLearningCheck ; //"5AB>2K5 8 >1CG0NI85 2K1>@:8 (AAK;:8 =0 TerminDocuments) TFKBSErrors : array of array of Integer; //H81:8 4;O tf 2A5E 2K1>@>: ?> <5B>4C :-1A TFIDFKBSErrors : array of array of Integer; //H81:8 tf 4;O 2A5E 2K1>@>: ?> <5B>4C :-1A TFPFErrors : array of array of Integer; //H81:8 4;O tf-idf 2A5E 2K1>@>: ?> <5B>4C ?D TFIDFPFErrors : array of array of Integer; //H81:8 tf-idf 4;O 2A5E 2K1>@>: ?> <5B>4C ?D SredTFKBSErrors : array of Extended; //!@54=85 >H81:8 4;O tf 2A5E 2K1>@>: ?> <5B>4C :-1A SredTFIDFKBSErrors : array of Extended; //!@54=85 >H81:8 tf 4;O 2A5E 2K1>@>: ?> <5B>4C :-1A SredTFPFErrors : array of Extended; //!@54=85 >H81:8 4;O tf-idf 2A5E 2K1>@>: ?> <5B>4C ?D SredTFIDFPFErrors : array of Extended; //!@54=85 >H81:8 tf-idf 4;O 2A5E 2K1>@>: ?> <5B>4C ?D GroupsNumber : Integer; //>;8G5AB2> @07;8G=KE 3@C?? {-B0? 1 - 703@C7:0 D09;>2 8 C:070=85 3@C?? 4;O =8E} {$09; - =01>@ AB@>:, A>45@60I8E ;N1K5 A8<2>;K 4;O E@0=5=8O D09;>2 8A?>;L7C5BAO <0AA82 AB@>:} procedure LoadFiles; {-B0? 2 - ?@5>1@07>20=85 D09;>2 2 ?>A;54>20B5;L=>ABL A;>2 87 4>?CAB8<KE A8<2>;>2} procedure ExtractWords; {-B0? 4 - @07185=85 ?>A;54>20B5;L=>AB8 A;>2 =0 4>:C<5=BK} procedure BoostDocuments; {-B0? 2.1.1 - A>@B8@>2:0 A;>2} procedure SortWords; {-B0? 2.1 - C40;5=85 AB>?-A;>2} {A;8 8<O D09;0 AB>?-A;>2 ?CAB>, B> C40;5=85 AB>?-A;>2 =5 ?@>8AE>48B} procedure DeleteStopWords; {-B0? 2.2 - C40;5=85 :>@>B:8E A;>2} {A;8 <8=8<0;L=0O 4;8=0 @02=0 =C;N, B> C40;5=85 :>@>B:8E A;>2 =5 ?@>8AE>48B} procedure DeleteShortWords; {-B0? 2.3 - A>740=85 A;>20@O} procedure GetVocabulary; {-B0? 3 - ?@5>1@07>20=85 A;>2 2 8=D8=8B82K} procedure TransformToInfinitive; //5 4>45;0=0 {-B0? 5 - 8=45:A0F8O A;>2} procedure Indexing; {-B0? 6 - A>@B8@>2:0 8=45:A>2 2 4>:C<5=B0E} procedure SortIndexes; {-B0? 7 - ?>4AG5B B5@<8=>2 2 4>:C<5=B0E} procedure CountTermins; {-B0? 8 - @07185=85 4>:C<5=B>2 =0 2K1>@:8} procedure BoostChecks; {-B0? 8.1 - A>740=85 >1CG0NI8E 8 B5AB>2KE 2K1>@>:} procedure CreateTestingLearningChecks; {-B0? 9 - @0AG5B 25A>2 tf 4;O :064>3> 4>:C<5=B0} procedure GetTF; {-B0? 10 - @0AG5B 25A>2 tf-idf 4;O :064>3> 4>:C<5=B0} procedure GetTFIDF; {-B0? 11.1 - @0AG5B <0B@8F @0AAB>O=8O <564C 4>:C<5=B0<8 B5AB>2KE 8 >1CG0NI8E 2K1>@>: 4;O tf-2725H820=89} procedure GetTFDistanceMatrix; {-B0? 11.2 - @0AG5B <0B@8F @0AAB>O=8O <564C 4>:C<5=B0<8 B5AB>2KE 8 >1CG0NI8E 2K1>@>: 4;O tf-idf-2725H820=89} procedure GetTFIDFDistanceMatrix; {-B0? 12 - @0AG5B 25:B>@>2 >H81>: 4;O <5B>40 :-1A 4;O 7040==>3> 8=B5@20;0 ?0@0<5B@0} procedure GetTFKBSErrors; procedure GetTFIDFKBSErrors; {-B0? 13 - @0AG5B 25:B>@>2 >H81>: 4;O <5B>40 ?D 4;O 7040==>3> 8=B5@20;0 ?0@0<5B@0} procedure GetTFPFErrors; procedure GetTFIDFPFErrors; {-B0? 14 - @0AG5B A@54=8E 25:B>@>2 >H81>:} procedure GetSredErrors; {-B0? 15 - ?>8A: =08;CGH8E ?0@0<5B@>2} procedure GetBestParameters; {$ENDREGION} end; implementation uses SysUtils, Math, Dialogs, Forms, MainUnit; { TTextMiningProcessor } {$REGION 'procedures'} procedure TTextMiningProcessor.BoostChecks; var UsedGroups : array of Boolean; i, j, k : Integer; UsedDocumentsNumber : array of array of Integer; //>;8G5AB2> 70?8A0==KE 2 2K1>@:C 4>:C<5=B>2 4;O :064>3> :;0AA0 begin SetLength(Checks, ChecksNumber); SetLength(UsedDocumentsNumber, ChecksNumber); SetLength(UsedGroups, 0); for i := 0 to Length(Groups) - 1 do begin j := Length(UsedGroups); if Groups[i] >= j then begin SetLength(UsedGroups, Groups[i] + 1); for k := j to Length(UsedGroups) - 2 do UsedGroups[k] := false; end; UsedGroups[Groups[i]] := true; end; GroupsNumber := 0; for i := 0 to Length(UsedGroups) - 1 do if UsedGroups[i] then inc(GroupsNumber); for i := 0 to Length(Checks) - 1 do begin SetLength(Checks[i], GroupsNumber * DocumentsNumber); SetLength(UsedDocumentsNumber[i], GroupsNumber); for j := 0 to GroupsNumber - 1 do UsedDocumentsNumber[i,j] := 0; end; for i := 0 to Length(TerminDocuments) - 1 do begin j := 0; while (j < ChecksNumber) and (UsedDocumentsNumber[j,TerminDocuments[i].Group] >= DocumentsNumber) do inc(j); if j < ChecksNumber then begin Checks[j,UsedDocumentsNumber[j,TerminDocuments[i].Group]] := TerminDocuments[i]; inc(UsedDocumentsNumber[j,TerminDocuments[i].Group]); end; end; end; procedure TTextMiningProcessor.BoostDocuments; var i, FileIndex : Integer; begin {AE>4=K5 40==K5 - A?8A:8 AB@>: A =C;52>9 AB@>:>9-@0745;8B5;5< 4>:C<5=B>2 KE>4=K5 40==K5 - A?8A>: 4>:C<5=B>2, A>45@60I8E A;>20 <564C AB@>0<8 @0745;8B5;O<8} if Length(WordFiles) > 0 then begin for FileIndex := 0 to Length(WordFiles) - 1 do begin SetLength(Documents, Length(Documents) + 1); Documents[Length(Documents) - 1] := TVerbalFile.Create(WordFiles[FileIndex].Group); {@0745;O5< :064K9 D09;} for i := 0 to WordFiles[FileIndex].Count - 1 do if WordFiles[FileIndex].Lines[i] <> '' then Documents[Length(Documents) - 1].Add(WordFiles[FileIndex].Lines[i]) else begin SetLength(Documents, Length(Documents) + 1); Documents[Length(Documents) - 1] := TVerbalFile.Create(WordFiles[FileIndex].Group); end; end; end; end; procedure TTextMiningProcessor.CountTermins; var FileIndex, i : Integer; begin SetLength(TerminDocuments, Length(NumberDocuments)); if Length(NumberDocuments) > 0 then for FileIndex := 0 to Length(TerminDocuments) - 1 do try begin TerminDocuments[FileIndex] := TTerminFile.Create(NumberDocuments[FileIndex].Group); TerminDocuments[FileIndex].Add(NumberDocuments[FileIndex][0]); for i := 1 to NumberDocuments[FileIndex].Count - 1 do if NumberDocuments[FileIndex][i] = TerminDocuments[FileIndex][TerminDocuments[FileIndex].Count - 1].Index then TerminDocuments[FileIndex].Increment(TerminDocuments[FileIndex].Count - 1) else TerminDocuments[FileIndex].Add(NumberDocuments[FileIndex][i]); end; except ShowMessage('CountTermins '+IntToStr(FileIndex)); end; end; procedure TTextMiningProcessor.CreateTestingLearningChecks; var i, j, k, s : Integer; begin SetLength(TestingLearningChecks, ChecksNumber); for i := 0 to ChecksNumber - 1 do with TestingLearningChecks[i] do begin SetLength(Testing, Length(Checks[i])); for k := 0 to Length(Testing) - 1 do Testing[k] := Checks[i,k]; SetLength(Learning, Length(Checks[i]) * (ChecksNumber - 1)); s := 0; for j := 0 to ChecksNumber - 1 do if i <> j then begin for k := 0 to Length(Checks[j]) - 1 do begin Learning[s] := Checks[j,k]; inc(s); end; end; end; end; procedure TTextMiningProcessor.DeleteShortWords; var FileIndex, i : Integer; begin if Length(Documents) > 0 then for FileIndex := 0 to Length(Documents) - 1 do for i := Documents[FileIndex].Count - 1 downto 0 do if Length(Documents[FileIndex].Lines[i]) < MinWordLength then Documents[FileIndex].Delete(i); end; procedure TTextMiningProcessor.DeleteStopWords; var StopWordsFile : TVerbalFile; FileIndex, i, j : Integer; begin StopWordsFile := TVerbalFile.Create(-1); StopWordsFile.LoadFromFile(StopWordsFileName); StopWordsFile.Sort; if Length(Documents) > 0 then for FileIndex := 0 to Length(Documents) - 1 do begin i := Documents[FileIndex].Count - 1; //0G8=05< >1@01>B:C A :>=F0 j := StopWordsFile.Count - 1; while i >= 0 do begin while (j > 0) and (StopWordsFile.Lines[j] > Documents[FileIndex].Lines[i]) do dec(j); if StopWordsFile.Lines[j] = Documents[FileIndex].Lines[i] then Documents[FileIndex].Delete(i); dec(i); end; end; StopWordsFile.Free; end; {$endregion} procedure TTextMiningProcessor.Execute; {K?>;=O5B 2A5 MB0?K 8 A>E@0=O5B 2> 2=CB@5==85 ?5@5<5==K5 >?B8<0;L=K5 7=0G5=8O ?0@0<5B@>2} var DataFile : TextFile; i, j, k : Integer; f : Boolean; C : array of Integer; Words : array of array of Integer; Groups : array of Integer; begin SetLength(C, 10); for i := 0 to 9 do C[i] := 0; SetLength(Words, 0); SetLength(Groups, 0); {$region 'prepare'} try LoadFiles; except ShowMessage('LoadFiles'); end; Application.ProcessMessages; MainForm.Caption := 'LoadFiles complete'; try ExtractWords; except ShowMessage('ExtractWords'); end; Application.ProcessMessages; MainForm.Caption := 'ExtractWords complete'; try BoostDocuments; except ShowMessage('BoostDocuments'); end; Application.ProcessMessages; MainForm.Caption := 'BoostDocuments complete'; try SortWords; except ShowMessage('SortWords'); end; Application.ProcessMessages; MainForm.Caption := 'SortWords complete'; try DeleteStopWords; except ShowMessage('DeleteStopWords'); end; Application.ProcessMessages; MainForm.Caption := 'DeleteStopWords complete'; try DeleteShortWords; except ShowMessage('DeleteShortWords'); end; Application.ProcessMessages; MainForm.Caption := 'DeleteShortWords complete'; try GetVocabulary; except ShowMessage('GetVocabulary'); end; Application.ProcessMessages; MainForm.Caption := 'GetVocabulary complete'; try SortWords; except ShowMessage('SortWords2'); end; Application.ProcessMessages; MainForm.Caption := 'SortWords complete'; // try // TransformToInfinitive; // except // ShowMessage('TransformToInfinitive'); // end; try Indexing; except ShowMessage('Indexing'); end; Application.ProcessMessages; MainForm.Caption := 'Indexing complete'; try SortIndexes; {0 40==>< MB0?5 MB0 ?@>F54C@0 =5 =C6=0, B.:. 8=45:AK C?>@O4>G5=K ?@8 A>740=88} except ShowMessage('SortIndexes'); end; Application.ProcessMessages; MainForm.Caption := 'SortIndexes complete'; try CountTermins; except ShowMessage('CountTermins'); end; Application.ProcessMessages; MainForm.Caption := 'CountTermins complete'; // try // BoostChecks; // except // ShowMessage('BoostChecks'); // end; // try // CreateTestingLearningChecks; // except // ShowMessage('CreateTestingLearningChecks'); // end; try GetTF; except ShowMessage('GetTF'); end; Application.ProcessMessages; MainForm.Caption := 'GetTF complete'; // try // GetTFIDF; // except // ShowMessage('GetTFIDF'); // end; // try // GetTFDistanceMatrix; // except // ShowMessage('GetTFDistanceMatrix'); // end; // try // GetTFIDFDistanceMatrix; // except // ShowMessage('GetTFIDFDistanceMatrix'); // end; // try // GetTFKBSErrors; // except // ShowMessage('GetTFKBSErrors'); // end; // try // GetTFIDFKBSErrors; // except // ShowMessage('GetTFIDFKBSErrors'); // end; // try // GetTFPFErrors; // except // ShowMessage('GetTFPFErrors'); // end; // try // GetTFIDFPFErrors; // except // ShowMessage('GetTFIDFPFErrors'); // end; // try // GetSredErrors; // except // ShowMessage('GetSredErrors'); // end; // try // GetBestParameters; // except // ShowMessage('GetBestParameters'); // end; {$endregion} for i := 0 to Length(TerminDocuments) - 1 do if C[TerminDocuments[i].Group] < 20 then begin inc(C[TerminDocuments[i].Group]); SetLength(Words, Length(Words) + 1); SetLength(Words[Length(Words) - 1], Vocabulary.Count); for j := 0 to Length(Words[Length(Words) - 1]) - 1 do Words[Length(Words) - 1, j] := 0; SetLength(Groups, Length(Groups) + 1); Groups[Length(Groups) - 1] := TerminDocuments[i].Group; j := 0; k := 0; while (j < Vocabulary.Count) and (k < TerminDocuments[i].Count) do begin if TerminDocuments[i][k].Index > j then begin // Write(DataFile, 0.0); inc(j); end else if TerminDocuments[i][k].Index = j then begin // Write(DataFile, ); Words[Length(Words) - 1, j] := TerminDocuments[i][k].Number; inc(j); inc(k); end end; // Writeln(DataFile, TerminDocuments[i].Group); end; for j := Vocabulary.Count - 1 downto 0 do begin f := true; i := 0; while (i< Length(Words)) and f do begin if Words[i,j] > 0 then f := false; inc(i); end; if f then begin for i := 0 to Length(Words) - 1 do begin Words[i, j] := Words[i, Length(Words[i]) - 1]; SetLength(Words[i], Length(Words[i]) - 1); end; end; end; AssignFile(DataFile, 'Table.txt'); Rewrite(DataFile); for i := 0 to Length(Words) - 1 do begin for j := 0 to Length(Words[i]) - 1 do Write(DataFile, Words[i,j],' '); Writeln(DataFile, Groups[i]); end; CloseFile(DataFile); Application.ProcessMessages; MainForm.Caption := 'Table complete'; end; procedure QuickSort(var A : TArray; iLo, iHi : Integer); {!>@B8@C5B <0AA82K} var Lo, Hi : Integer; T : TRecord; Mid : Extended; begin Lo := iLo; Hi := iHi; Mid := A[(Lo + Hi) div 2].Value; repeat while (Lo <= Length(A)-1) and (A[Lo].Value < Mid) do inc(Lo); while (Hi >= 0) and (A[Hi].Value > Mid) do dec(Hi); if Lo <= Hi then begin T.Index := A[Lo].Index; A[Lo].Index := A[Hi].Index; A[Hi].Index := T.Index; T.Value := A[Lo].Value; A[Lo].Value := A[Hi].Value; A[Hi].Value := T.Value; inc(Lo); dec(Hi); end; until Lo > Hi; if Hi > iLo then QuickSort(A,iLo,Hi); if Lo < iHi then QuickSort(A,Lo,iHi); end; procedure TTextMiningProcessor.ExtractWords; {72;5:05B A;>20, A>AB>OI85 87 4>?CAB8<KE A8<2>;>2, 87 AB@>: 703@C65==KE 4>:C<5=B>2} function GetWord(const Line: String; var Position: Integer): String; const Literas = ['a'..'z','A'..'Z']; begin Result:=''; if Position<1 then Position:=1; if Position<=Length(Line) then begin while (Position<=Length(Line))and(not(Line[Position] in Literas)) do inc(Position); while (Position<=Length(Line))and(Line[Position] in Literas) do begin Result:=Result+Line[Position]; inc(Position); end; end; Result:=AnsiLowerCase(Result); end; var CurrentWord : String; CurrentPosition : Integer; i, FileIndex: Integer; begin SetLength(WordFiles, Length(VerbalFiles)); if Length(WordFiles) > 0 then for FileIndex := 0 to Length(VerbalFiles) - 1 do with VerbalFiles[FileIndex] do begin WordFiles[FileIndex] := TVerbalFile.Create(VerbalFiles[FileIndex].Group); for i := 0 to Count - 1 do begin if Lines[i] <> '' then begin CurrentPosition := 0; while CurrentPosition <= Length(Lines[i]) do begin CurrentWord := GetWord(Lines[i],CurrentPosition); if CurrentWord <> '' then WordFiles[FileIndex].Add(CurrentWord); end; end else if (Lines[i] = '') and (Lines[i - 1] <> '') then WordFiles[FileIndex].Add(''); end; end; end; procedure TTextMiningProcessor.GetTFKBSErrors; { 0AAG8BK205B >H81:8 <5B>4>< !} var i, j, k : LongWord; KBSClassesCounter : array of LongWord; CurrentClass : Integer; A : TArray; CheckIndex : Integer; begin SetLength(TFKBSErrors, Length(TestingLearningChecks)); //&8:; ?> 2A5< 2K1>@:0< for CheckIndex := 0 to Length(TestingLearningChecks) - 1 do begin //>43>B02;8205< ?@>F54C@C : @01>B5 SetLength(TFKBSErrors[CheckIndex],Kmax - KMin + 1); for j := 0 to Length(TFKBSErrors[CheckIndex]) - 1 do TFKBSErrors[CheckIndex,j] := 0; with TestingLearningChecks[CheckIndex] do begin //0G8=05< F8:; 4;O 2A5E B5AB>2KE 4>:C<5=B>2 for j:=0 to Length(Testing) - 1 do begin //!>7405< 8 70?>;=O5< 25:B>@ 8=45:A>2 >1CG0NI8E 4>:C<5=B>2 SetLength(A,Length(Learning)); for k:=0 to Length(A)-1 do begin A[k].Index := k; A[k].Value := TFDistanceMatrix[j,k]; end; //!>@B8@C5< 8=45:AK 4>:C<5=B>2 ?> 2>7@0AB0=8N @0AAB>O=89 QuickSort(A,0,Length(A)-1); //0G8=05< F8:; 4;O 2A5E 7=0G5=89 ?0@0<5B@0  for i:=KMin to Kmax do begin //>4AG8BK205< :;0AAK SetLength(KBSClassesCounter,GroupsNumber); for k:=0 to GroupsNumber - 1 do KBSClassesCounter[k] := 0; for k:=0 to i do inc(KBSClassesCounter[Learning[A[k].Index].Group]); //I5< <0:A8<0;L=K9 CurrentClass := 0; for k:=0 to 7 do if KBSClassesCounter[CurrentClass] < KBSClassesCounter[k] then CurrentClass := k; //?@545;O5< >H81:C if CurrentClass <> Testing[j].Group then inc(TFKBSErrors[CheckIndex,i-KMin]); end; end; end; end; end; procedure TTextMiningProcessor.GetTFPFErrors; { 0AAG8BK205B >H81:8 4;O <5B>40 >B5=F80;L=>9 DC=:F88} var ClassDistanse : array of Extended; i, j, k, l, StepsNumber : Integer; A : Extended; CurrentClass, CheckIndex : Integer; begin SetLength(TFPFErrors, Length(TestingLearningChecks)); StepsNumber := trunc((MaxAlpha - MinAlpha) / AlphaStep); for CheckIndex := 0 to Length(TestingLearningChecks) - 1 do with TestingLearningChecks[CheckIndex] do begin A := MinAlpha; SetLength(ClassDistanse,GroupsNumber); SetLength(TFPFErrors[CheckIndex],StepsNumber); for i:=0 to StepsNumber-1 do TFPFErrors[CheckIndex,i] := 0; for k:=0 to StepsNumber-1 do begin for i:=0 to Length(Testing) - 1 do begin for j:=0 to GroupsNumber - 1 do ClassDistanse[j] := 0; for j:=0 to Length(Learning) - 1 do ClassDistanse[Learning[j].Group] := ClassDistanse[Learning[j].Group] + exp(-A*TFDistanceMatrix[i,j]); CurrentClass := 0; for l:=0 to GroupsNumber - 1 do if ClassDistanse[CurrentClass] <= ClassDistanse[l] then CurrentClass := l; 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for j := 0 to Length(TFKBSErrors[CheckIndex]) - 1 do TFKBSErrors[CheckIndex,j] := 0; with TestingLearningChecks[CheckIndex] do begin //0G8=05< F8:; 4;O 2A5E B5AB>2KE 4>:C<5=B>2 for j:=0 to Length(Testing) - 1 do begin //!>7405< 8 70?>;=O5< 25:B>@ 8=45:A>2 >1CG0NI8E 4>:C<5=B>2 SetLength(A,Length(Learning)); for k:=0 to Length(A)-1 do begin A[k].Index := k; A[k].Value := TFIDFDistanceMatrix[j,k]; end; //!>@B8@C5< 8=45:AK 4>:C<5=B>2 ?> 2>7@0AB0=8N @0AAB>O=89 QuickSort(A,0,Length(A)-1); //0G8=05< F8:; 4;O 2A5E 7=0G5=89 ?0@0<5B@0  for i:=KMin to Kmax do begin //>4AG8BK205< :;0AAK SetLength(KBSClassesCounter,GroupsNumber); for k:=0 to GroupsNumber - 1 do KBSClassesCounter[k] := 0; for k:=0 to i do inc(KBSClassesCounter[Learning[A[k].Index].Group]); //I5< <0:A8<0;L=K9 CurrentClass := 0; for k:=0 to 7 do if KBSClassesCounter[CurrentClass] < KBSClassesCounter[k] then CurrentClass := k; //?@545;O5< >H81:C if CurrentClass <> Testing[j].Group then inc(TFIDFKBSErrors[CheckIndex,i-KMin]); end; end; end; end; end; procedure TTextMiningProcessor.GetTFIDFPFErrors; { 0AAG8BK205B >H81:8 4;O <5B>40 >B5=F80;L=>9 DC=:F88} var ClassDistanse : array of Extended; i, j, k, l, StepsNumber : Integer; A : Extended; CurrentClass, CheckIndex : Integer; begin SetLength(TFIDFPFErrors, Length(TestingLearningChecks)); StepsNumber := trunc((MaxAlpha - MinAlpha) / AlphaStep); for CheckIndex := 0 to Length(TestingLearningChecks) - 1 do with TestingLearningChecks[CheckIndex] do begin A := MinAlpha; SetLength(ClassDistanse,GroupsNumber); SetLength(TFIDFPFErrors[CheckIndex],StepsNumber); for i:=0 to StepsNumber-1 do TFIDFPFErrors[CheckIndex,i] := 0; for k:=0 to StepsNumber-1 do begin for i:=0 to Length(Testing) - 1 do begin for j:=0 to GroupsNumber - 1 do ClassDistanse[j] := 0; for j:=0 to Length(Learning) - 1 do ClassDistanse[Learning[j].Group] := ClassDistanse[Learning[j].Group] + exp(-A*TFIDFDistanceMatrix[i,j]); CurrentClass := 0; for l:=0 to GroupsNumber - 1 do if ClassDistanse[CurrentClass] <= ClassDistanse[l] then CurrentClass := l; if Testing[i].Group <> CurrentClass then inc(TFIDFPFErrors[CheckIndex, k]); end; A := A + AlphaStep; end; end; end; procedure TTextMiningProcessor.GetBestParameters; var MinError : Extended; i : Integer; begin {09B8 <8=8<0;L=CN >H81:C =09B8 2A5 <8=8<0;L=K5 >H81:8 A>E@0=8BL A>>B25BAB2CNI85 8< 7=0G5=8O ?0@0<5B@>2 ?@5>1@07>20BL A;54CNI85 ?>4@O4 7=0G5=8O 2 8=B5@20;K} SetLength(BestTFKBSParameters, 0); SetLength(BestTFIDFKBSParameters, 0); SetLength(BestTFPFParameters, 0); SetLength(BestTFIDFPFParameters, 0); MinError := SredTFKBSErrors[0]; for i := 0 to Length(SredTFKBSErrors) - 1 do if MinError > SredTFKBSErrors[i] then MinError := SredTFKBSErrors[i]; for i := 0 to Length(SredTFKBSErrors) - 1 do if MinError = SredTFKBSErrors[i] then begin SetLength(BestTFKBSParameters, Length(BestTFKBSParameters) + 1); BestTFKBSParameters[Length(BestTFKBSParameters) - 1] := i + KMin; end; MinError := SredTFIDFKBSErrors[0]; for i := 0 to Length(SredTFIDFKBSErrors) - 1 do if MinError > SredTFIDFKBSErrors[i] then MinError := SredTFIDFKBSErrors[i]; for i := 0 to Length(SredTFIDFKBSErrors) - 1 do if MinError = SredTFIDFKBSErrors[i] then begin SetLength(BestTFIDFKBSParameters, Length(BestTFIDFKBSParameters) + 1); BestTFIDFKBSParameters[Length(BestTFIDFKBSParameters) - 1] := i + KMin; end; MinError := SredTFPFErrors[0]; for i := 0 to Length(SredTFPFErrors) - 1 do if MinError > SredTFPFErrors[i] then MinError := SredTFPFErrors[i]; for i := 0 to Length(SredTFPFErrors) - 1 do if MinError = SredTFPFErrors[i] then begin SetLength(BestTFPFParameters, Length(BestTFPFParameters) + 1); BestTFPFParameters[Length(BestTFPFParameters) - 1] := i * AlphaStep + MinAlpha; end; MinError := SredTFIDFPFErrors[0]; for i := 0 to Length(SredTFIDFPFErrors) - 1 do if MinError > SredTFIDFPFErrors[i] then MinError := SredTFIDFPFErrors[i]; for i := 0 to Length(SredTFIDFPFErrors) - 1 do if MinError = SredTFIDFPFErrors[i] then begin SetLength(BestTFIDFPFParameters, Length(BestTFIDFPFParameters) + 1); BestTFIDFPFParameters[Length(BestTFIDFPFParameters) - 1] := i * AlphaStep + MinAlpha; end; end; procedure TTextMiningProcessor.GetSredErrors; var i, j : Integer; begin SetLength(SredTFKBSErrors, Length(TFKBSErrors[0])); for j := 0 to Length(TFKBSErrors[0]) - 1 do SredTFKBSErrors[j] := 0; for j := 0 to Length(TFKBSErrors[0]) - 1 do begin for i := 0 to Length(TFKBSErrors) - 1 do SredTFKBSErrors[j] := SredTFKBSErrors[j] + TFKBSErrors[i,j]; SredTFKBSErrors[j] := SredTFKBSErrors[j] / Length(TFKBSErrors); end; SetLength(SredTFIDFKBSErrors, Length(TFIDFKBSErrors[0])); for j := 0 to Length(TFIDFKBSErrors[0]) - 1 do SredTFIDFKBSErrors[j] := 0; for j := 0 to Length(TFIDFKBSErrors[0]) - 1 do begin for i := 0 to Length(TFIDFKBSErrors) - 1 do SredTFIDFKBSErrors[j] := SredTFIDFKBSErrors[j] + TFIDFKBSErrors[i,j]; SredTFIDFKBSErrors[j] := SredTFIDFKBSErrors[j] / Length(TFIDFKBSErrors); end; SetLength(SredTFPFErrors, Length(TFPFErrors[0])); for j := 0 to Length(TFPFErrors[0]) - 1 do SredTFPFErrors[j] := 0; for j := 0 to Length(TFPFErrors[0]) - 1 do begin for i := 0 to Length(TFPFErrors) - 1 do SredTFPFErrors[j] := SredTFPFErrors[j] + TFPFErrors[i,j]; SredTFPFErrors[j] := SredTFPFErrors[j] / Length(TFPFErrors); end; SetLength(SredTFIDFPFErrors, Length(TFIDFPFErrors[0])); for j := 0 to Length(TFIDFPFErrors[0]) - 1 do SredTFIDFPFErrors[j] := 0; for j := 0 to Length(TFIDFPFErrors[0]) - 1 do begin for i := 0 to Length(TFIDFPFErrors) - 1 do SredTFIDFPFErrors[j] := SredTFIDFPFErrors[j] + TFIDFPFErrors[i,j]; SredTFIDFPFErrors[j] := SredTFIDFPFErrors[j] / Length(TFIDFPFErrors); end; end; procedure TTextMiningProcessor.GetTF; var FileIndex, i, k : Integer; begin if Length(TerminDocuments) > 0 then for FileIndex := 0 to Length(TerminDocuments) - 1 do begin k := 0; for i := 0 to TerminDocuments[FileIndex].Count - 1 do inc(k, TerminDocuments[FileIndex][i].Number); TerminDocuments[FileIndex].WordsNumber := k; for i := 0 to TerminDocuments[FileIndex].Count - 1 do TerminDocuments[FileIndex].tf[i] := TerminDocuments[FileIndex][i].Number / k; end; end; procedure TTextMiningProcessor.GetTFDistanceMatrix; var i, j, k, l, m : Integer; begin {;O 2A5E2K1>@>: 4;O 2A5E 4>:C<5=B>2 B5AB>2KE 2K1>@>: 4;O 2A5E 4>:C<5=B>2 >1CG0NI8E 2K1>@>: @0AAG8B0BL @0AAB>O=85 <564C 4>:C<5=B0<8} for i := 0 to Length(TestingLearningChecks) - 1 do with TestingLearningChecks[i] do begin {#AB0=>28< @07<5@K <0B@8FK @0AAB>O=8O} SetLength(TFDistanceMatrix, Length(Testing)); for j := 0 to Length(TFDistanceMatrix) - 1 do SetLength(TFDistanceMatrix[j], Length(Learning)); for j := 0 to Length(Testing) - 1 do for k := 0 to Length(Learning) - 1 do begin TFDistanceMatrix[j,k] := 0; l := 0; m := 0; // TTestingLearningCheck = record // Testing : TTerminFileArray; // Learning : TTerminFileArray; // // TestingTFIDF : array of array of Extended; // LearningTFIDF : array of array of Extended; // {4>:C<5=B -> A;>2>} // // TFDistanceMatrix : array of array of Extended; // TFIDFDistanceMatrix : array of array of Extended; // {B5AB>2K5 -> >1CG0NI885} // // end; while (l < Testing[j].Count) and (m < Learning[k].Count) do begin if Testing[j][l].Index < Learning[k][m].Index then begin TFDistanceMatrix[m,k] := TFDistanceMatrix[m,k] + sqr(Testing[j][l].tf); inc(l); end else if Testing[j][l].Index > Learning[k][m].Index then begin TFDistanceMatrix[m,k] := TFDistanceMatrix[m,k] + sqr(Learning[k][m].tf); inc(m); end else if Testing[j][l].Index = Learning[k][m].Index then begin TFDistanceMatrix[m,k] := TFDistanceMatrix[m,k] + sqr(Testing[j][l].tf - Learning[k][m].tf); inc(l); inc(m); end; end; while l < Testing[j].Count do begin TFDistanceMatrix[m,k] := TFDistanceMatrix[m,k] + sqr(Testing[j][l].tf); inc(l); end; while m < Learning[k].Count do begin TFDistanceMatrix[m,k] := TFDistanceMatrix[m,k] + sqr(Learning[k][m].tf); inc(m); end; TFDistanceMatrix[m,k] := sqrt(TFDistanceMatrix[m,k]); end; end; end; procedure TTextMiningProcessor.GetTFIDF; var i, j, k : Integer; DNumber : array of Integer; //>;8G5AB2> 4>:C<5=B>2, A>45@60I8E i-5 A;>2> begin {8A?>;L7CNBAO TestingLearningChecks 4;O 70?>;=5=8O} {7OBL >G5@54=CN ?0@C 2K1>@>: ?>AG8B0BL :>;8G5AB2> 4>:C<5=B>2 >1CG0NI59 2K1>@:8, 2 :>B>@KE 2AB@5G05BAO :064>5 A;>2> ?>AG8B0BL tf-idf} SetLength(DNumber, Vocabulary.Count); for i := 0 to Length(TestingLearningchecks) - 1 do with TestingLearningChecks[i] do begin {=8F80;878@C5< 40==K5} SetLength(TestingTFIDF, Length(Testing)); for j := 0 to Length(TestingTFIDF) - 1 do SetLength(TestingTFIDF[j], Testing[j].Count); SetLength(LearningTFIDF, Length(Learning)); for j := 0 to Length(LearningTFIDF) - 1 do SetLength(LearningTFIDF[j], Learning[j].Count); {1=C;O5< AG5BG8:} for j := 0 to Vocabulary.Count - 1 do DNumber[j] := 0; {!G8B05< :>;8G5AB20 4>:C<5=B>2} for j := 0 to Length(Learning) - 1 do for k := 0 to Learning[j].Count - 1 do inc(DNumber[Learning[j][k].Index]); {!G8B05< tf-idf 2725H820=8O 4;O B5AB>2>9 2K1>@:8} for j := 0 to Length(Testing) - 1 do for k := 0 to Testing[j].Count - 1 do if DNumber[Testing[j][k].Index] <> 0 then TestingTFIDF[j,k] := Testing[j][k].Number * log10(Testing[j][k].Number / DNumber[Testing[j][k].Index]) / Testing[j].WordsNumber else TestingTFIDF[j,k] := 0; {!G8B05< tf-idf 2725H820=8O 4;O >1CG0NI59 2K1>@:8} for j := 0 to Length(Learning) - 1 do for k := 0 to Learning[j].Count - 1 do if DNumber[Learning[j][k].Index] <> 0 then LearningTFIDF[j,k] := Learning[j][k].Number * log10(Learning[j][k].Number / DNumber[Learning[j][k].Index]) / Learning[j].WordsNumber else LearningTFIDF[j,k] := 0; end; end; procedure TTextMiningProcessor.GetTFIDFDistanceMatrix; var i, j, k, l, m : Integer; begin {;O 2A5E2K1>@>: 4;O 2A5E 4>:C<5=B>2 B5AB>2KE 2K1>@>: 4;O 2A5E 4>:C<5=B>2 >1CG0NI8E 2K1>@>: @0AAG8B0BL @0AAB>O=85 <564C 4>:C<5=B0<8} for i := 0 to Length(TestingLearningChecks) - 1 do with TestingLearningChecks[i] do begin {#AB0=>28< @07<5@K <0B@8FK @0AAB>O=8O} SetLength(TFIDFDistanceMatrix, Length(TestingTFIDF)); for j := 0 to Length(TFIDFDistanceMatrix) - 1 do SetLength(TFIDFDistanceMatrix[j], Length(LearningTFIDF)); for j := 0 to Length(TestingTFIDF) - 1 do for k := 0 to Length(LearningTFIDF) - 1 do begin TFIDFDistanceMatrix[j,k] := 0; l := 0; m := 0; // TTestingLearningCheck = record // Testing : TTerminFileArray; // Learning : TTerminFileArray; // // TestingTFIDF : array of array of Extended; // LearningTFIDF : array of array of Extended; // {4>:C<5=B -> A;>2>} // // TFDistanceMatrix : array of array of Extended; // TFIDFDistanceMatrix : array of array of Extended; // {B5AB>2K5 -> >1CG0NI885} // // end; while (l < Length(TestingTFIDF[j])) and (m < Length(LearningTFIDF[k])) do begin if Testing[j][l].Index < Learning[k][m].Index then begin TFIDFDistanceMatrix[m,k] := TFIDFDistanceMatrix[m,k] + sqr(TestingTFIDF[j][l]); inc(l); end else if Testing[j][l].Index > Learning[k][m].Index then begin TFIDFDistanceMatrix[m,k] := TFIDFDistanceMatrix[m,k] + sqr(LearningTFIDF[k][m]); inc(m); end else if Testing[j][l].Index = Learning[k][m].Index then begin TFIDFDistanceMatrix[m,k] := TFIDFDistanceMatrix[m,k] + sqr(TestingTFIDF[j][l] - LearningTFIDF[k][m]); inc(l); inc(m); end; end; while l < Testing[j].Count do begin TFIDFDistanceMatrix[m,k] := TFIDFDistanceMatrix[m,k] + sqr(TestingTFIDF[j][l]); inc(l); end; while m < Learning[k].Count do begin TFIDFDistanceMatrix[m,k] := TFIDFDistanceMatrix[m,k] + sqr(LearningTFIDF[k][m]); inc(m); end; TFIDFDistanceMatrix[m,k] := sqrt(TFIDFDistanceMatrix[m,k]); end; end; end; procedure TTextMiningProcessor.GetVocabulary; var FileIndex, i : Integer; CurrentVocabulary : TVerbalFile; begin {!;8BL A;>20 A> 2A5E 4>:C<5=B>2 2 A;>20@L >A>@B8@>20BL ?>;CG5==K9 A?8A>: #40;8BL ?>2B>@K} Vocabulary := TVerbalFile.Create(-1); CurrentVocabulary := TVerbalFile.Create(-1); if Length(Documents) > 0 then for FileIndex := 0 to Length(Documents) - 1 do for i := 0 to Documents[FileIndex].Count - 1 do CurrentVocabulary.Add(Documents[FileIndex].Lines[i]); CurrentVocabulary.Sort; Vocabulary.Add(CurrentVocabulary.Lines[0]); for i := 1 to CurrentVocabulary.Count - 1 do if CurrentVocabulary.Lines[i] <> Vocabulary.Lines[Vocabulary.Count - 1] then Vocabulary.Add(CurrentVocabulary[i]); CurrentVocabulary.Free; end; procedure TTextMiningProcessor.Indexing; var i, j, FileIndex : Integer; begin SetLength(NumberDocuments, 0); if Length(Documents) > 0 then for FileIndex := 0 to Length(Documents) - 1 do if Documents[FileIndex].Count > 0 then begin SetLength(NumberDocuments, Length(NumberDocuments) + 1); NumberDocuments[Length(NumberDocuments) - 1] := TNumberFile.Create(Documents[FileIndex].Group); j := 0; for i := 0 to Documents[FileIndex].Count - 1 do begin while Documents[FileIndex][i] > Vocabulary[j] do inc(j); if (j < Vocabulary.Count) and (Vocabulary[j] = Documents[FileIndex][i]) then NumberDocuments[Length(NumberDocuments) - 1].Add(j); end; end; end; procedure TTextMiningProcessor.LoadFiles; {03@C605B D09;K 87 A?8A:0 8 ?><5G05B 8E A>>B25BAB2CNI8<8 3@C??0<8} var i : Integer; begin SetLength(VerbalFiles, Length(Files)); if Length(VerbalFiles) > 0 then for i := 0 to Length(Files) - 1 do begin VerbalFiles[i] := TVerbalFile.Create(Groups[i]); VerbalFiles[i].LoadFromFile(Files[i]); end; end; procedure TTextMiningProcessor.SortIndexes; var FileIndex : Integer; begin if Length(NumberDocuments) > 0 then for FileIndex := 0 to Length(NumberDocuments) - 1 do NumberDocuments[FileIndex].Sort; end; procedure TTextMiningProcessor.SortWords; var FileIndex : Integer; begin if Length(Documents) > 0 then for FileIndex := 0 to Length(Documents) - 1 do try Documents[FileIndex].Sort; except ShowMessage(IntToStr(Length(Documents)) +' '+ IntToStr(FileIndex)); end; end; procedure TTextMiningProcessor.TransformToInfinitive; function Root (const Text : String; const Size : Integer) : String; begin Result := Text; if Copy(Text, Length(Text) - 1, 2) = 'es' then Delete(Result, Length(Result) - 1, 2) else if Text[Length(Text)] = 's' then Delete(Result, Length(Result), 1) else if Copy(Text, Length(Text) - 1, 2) = 'ed' then Delete(Result, Length(Result) - 1, 2) else if Copy(Text, Length(Text) - 2, 3) = 'ing' then Delete(Result, Length(Result) - 2, 3); end; {A;8 C A;>20 87<5=O5BAO ?>A;54=OO 1C:20 (fly -> flied) B> ?>@O4>: A;54>20=8O 8=D8=8B820 8 8AE>4=>3> A;>20 <>65B 1KBL =0@CH5=} //var // i, j, FileIndex : Integer; begin // if Length(Documents) > 0 then // for FileIndex := 0 to Length(Documents) - 1 do // begin // j := 0; // for i := 0 to Documents[FileIndex] .Count - 1 do // // end; // end; end.      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