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The effect of OCR errors on stylistic text classification

Identifieur interne : 000361 ( PascalFrancis/Corpus ); précédent : 000360; suivant : 000362

The effect of OCR errors on stylistic text classification

Auteurs : Sterling Stuart Stein ; Shlomo Argamon ; Ophir Frieder

Source :

RBID : Pascal:06-0519586

Descripteurs français

English descriptors

Abstract

Recently, interest is growing in non-topical text classification tasks such as genre classification, sentiment analysis, and authorship profiling. We study to what extent OCR errors affect stylistic text classification from scanned documents. We find that even a relatively high level of errors in the OCRed documents does not substantially affect stylistic classification accuracy.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

pA  
A08 01  1  ENG  @1 The effect of OCR errors on stylistic text classification
A09 01  1  ENG  @1 SIGIR 2006 : proceedings of the Twenty-Ninth annual international ACM SIGIR Conference on research and development in information retrieval, August 6-11, 2006, Seattle, WA, USA
A11 01  1    @1 STEIN (Sterling Stuart)
A11 02  1    @1 ARGAMON (Shlomo)
A11 03  1    @1 FRIEDER (Ophir)
A14 01      @1 Linguistic Cognition Lab Computer Science Dept. Illinois Institute of Technology 3300 South Federal Street @2 Chicago, IL 60616-3793 @3 USA @Z 1 aut. @Z 2 aut.
A14 02      @1 Information Retrieval Lab Computer Science Dept. Illinois Institute of Technology 3300 South Federal Street @2 Chicago, IL 60616-3793 @3 USA @Z 3 aut.
A18 01  1    @1 Association for computing machinery @3 USA @9 org-cong.
A20       @1 701-702
A21       @1 2006
A23 01      @0 ENG
A25 01      @1 ACM Press @2 New York NY
A26 01      @0 1-59593-369-7
A30 01  1  ENG  @1 International ACM SIGIR conference on research and development in information retrieval @2 29 @3 Seattle WA USA @4 2006
A43 01      @1 INIST @2 Y 38973 @5 354000153508051280
A44       @0 0000 @1 © 2006 INIST-CNRS. All rights reserved.
A45       @0 5 ref.
A47 01  1    @0 06-0519586
A60       @1 C
A61       @0 A
A66 01      @0 USA
C01 01    ENG  @0 Recently, interest is growing in non-topical text classification tasks such as genre classification, sentiment analysis, and authorship profiling. We study to what extent OCR errors affect stylistic text classification from scanned documents. We find that even a relatively high level of errors in the OCRed documents does not substantially affect stylistic classification accuracy.
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C03 01  X  FRE  @0 Reconnaissance caractère @5 06
C03 01  X  ENG  @0 Character recognition @5 06
C03 01  X  SPA  @0 Reconocimiento carácter @5 06
C03 02  X  FRE  @0 Reconnaissance optique caractère @5 07
C03 02  X  ENG  @0 Optical character recognition @5 07
C03 02  X  SPA  @0 Reconocimento óptico de caracteres @5 07
C03 03  X  FRE  @0 Analyse contenu @5 08
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C03 03  X  SPA  @0 Análisis contenido @5 08
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C03 04  X  SPA  @0 Búsqueda información @5 09
C03 05  X  FRE  @0 Texte @5 10
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C03 05  X  SPA  @0 Texto @5 10
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C03 07  3  ENG  @0 Text analysis @5 18
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Format Inist (serveur)

NO : PASCAL 06-0519586 INIST
ET : The effect of OCR errors on stylistic text classification
AU : STEIN (Sterling Stuart); ARGAMON (Shlomo); FRIEDER (Ophir)
AF : Linguistic Cognition Lab Computer Science Dept. Illinois Institute of Technology 3300 South Federal Street/Chicago, IL 60616-3793/Etats-Unis (1 aut., 2 aut.); Information Retrieval Lab Computer Science Dept. Illinois Institute of Technology 3300 South Federal Street/Chicago, IL 60616-3793/Etats-Unis (3 aut.)
DT : Congrès; Niveau analytique
SO : International ACM SIGIR conference on research and development in information retrieval/29/2006/Seattle WA USA; Etats-Unis; New York NY: ACM Press; Da. 2006; Pp. 701-702; ISBN 1-59593-369-7
LA : Anglais
EA : Recently, interest is growing in non-topical text classification tasks such as genre classification, sentiment analysis, and authorship profiling. We study to what extent OCR errors affect stylistic text classification from scanned documents. We find that even a relatively high level of errors in the OCRed documents does not substantially affect stylistic classification accuracy.
CC : 001D02C04; 001D02B07D
FD : Reconnaissance caractère; Reconnaissance optique caractère; Analyse contenu; Recherche information; Texte; Classification; Analyse texte
ED : Character recognition; Optical character recognition; Content analysis; Information retrieval; Text; Classification; Text analysis
SD : Reconocimiento carácter; Reconocimento óptico de caracteres; Análisis contenido; Búsqueda información; Texto; Clasificación
LO : INIST-Y 38973.354000153508051280
ID : 06-0519586

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Pascal:06-0519586

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