Document classification method and apparatus

Details Document classification method and apparatus Document classification method and apparatus

2007-02-27

2007-02-27

Gaffin, Jeffrey (Department: 2161)

Data processing: database and file management or data structures

Database design

Data structure types

C707S793000, C707S793000, C707S793000, C715S252000

Reexamination Certificate

active

10373689

ABSTRACT:
A document is classified into at least one document class by selecting terms for use in the classification from among terms that occur in the document. A similarity between the input document and each class is calculated using information saved for every document class. The calculated similarity to each class is corrected. The class to which the input document belongs is determined in accordance with the corrected similarity to each class.

REFERENCES:
patent: 6003027 (1999-12-01), Prager
patent: 6125362 (2000-09-01), Elworthy
patent: 6192360 (2001-02-01), Dumais et al.
patent: 6611825 (2003-08-01), Billheimer et al.
patent: 6704905 (2004-03-01), Fukushige et al.
patent: 97/33250 (1997-09-01), None
“Expert Network: Effective and Efficient Learning from Human Decisions in Text Categorization and Retrieval”, published 1994, by Yiming Yang□□http://www.is.informatik.uni-duisburg.de/bib/pdf/unidu/Yang:94.pdf□□.
C.D. Manning and H. Schutze, Foundations of Statistical Natural Language Processing, 1999, The MIT Press, Chapter 16, pp. 575-608.
Zi-Quan Hong et al., “Optical Discriminant Plane for a Small Number of Samples and Design Method of Classifier on the Plane”, Pattern Recognition, Elsevier, Kidlington, GB, vol. 24, No. 4, Jan. 1991, pp. 317-324, Document No. XP-000205304, ISSN: 0031-3203.
Yoshihiko Hamamoto et al., “A Generalized Orthonormal Discriminant Vector Method for Pattern Recognition”, Electronics and Communications in Japan, Part III: Fundamental Electronic Science, Wiley, Hoboken, NJ, US, vol. 77, No. 8, Aug. 1, 1994, pp. 48-56, Document No. XP-000503754, ISSN: 1042-0967, Equations 6,7, Section 3.
Takahiko Kawatani, “Handwritten Kanji Recognition Using Combined Complementary Classifiers in a Cascade Arrangement”, Document Analysis and Recognition, 1999. ICDAR'99. Proceedings of the Fifth International Conference on Bangalore, India Sep. 20-22, 1999, Los Alamitos, CA, USA, IEEE Comput. Soc, US, Sep. 20, 1999, pp. 503-506, Document No. XP-010351315, ISBN: 0-7695-0318-7, Sections 2.3, 3.3.
Francesco Ricci et al., “Data Compression and Local Metrics for Nearest Neighbor Classification”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Service Center, Los Alamitos, CA, US, vol. 21, No. 4, Apr. 1999, pp. 380-384, Document No. XP-000833578, ISSN: 0162-8828, Sections 2,3.
Trevor Hastie et al., “Discriminant Adaptive Nearest Neighbor Classification”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Service Center, Los Alamitos, CA, US, vol. 18, No. 6, Jun. 1, 1996, pp. 607-615, Document No. XP-00020142, ISSN: 0162-8828, Sections 1,2.
Takahiko Kawatani et al., “Topic Difference Factor Extraction Between Two Document Sets and Its Application to Text Categorization”, SIGIR'02, Proceedings of the 25th. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Tampere, Finland, Annual International ACM-SIGIR Conference on Research and Development in Inform, vol. Conf. 25, Aug. 11, 2002, pp. 137-144, Document No. XP-002334774, ISSN: 1-58113-561-0.
Bunke H et al., “Handbook of Character Recognition and Document Image Analysis, Passage”, Handbook on Optical Character Recognition and Document Image Analysis, World Scientific Publishing, US, 1997, pp. 665-668, Document No. XP-002401851.

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