The effect of OCR errors on stylistic text classification

Proceedings of the Twenty-Ninth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn 2006, Issue , 2006, Pages 701-702

  Stein, Sterling Stuart ^a   Argamon, Shlomo ^a   Frieder, Ophir ^a  

^a Illinois Institute of Technology   (United States)

Author keywords

OCR; OCR errors; Text classification

Indexed keywords

ERROR ANALYSIS; INFORMATION RETRIEVAL SYSTEMS; OPTICAL CHARACTER RECOGNITION; SCANNING; TEXT PROCESSING; CLASSIFICATION (OF INFORMATION);

AUTHORSHIP PROFILING; GENRE CLASSIFICATION; SENTIMENT ANALYSIS; TEXT CLASSIFICATION;

CLASSIFICATION (OF INFORMATION); OPTICAL CHARACTER RECOGNITION;

GENRE CLASSIFICATION; OCR ERRORS; SENTIMENT ANALYSIS; STYLISTIC TEXT CLASSIFICATION;

EID: 33750350400     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1148170.1148325     Document Type: Conference Paper

References (5)

1. J. C. Kazem Taghva. Hairetes: A search engine for ocr documents. Intl. Workshop on Document Analysis Systems, pages 412-422, August 2002.
2. V. Levenshtein. Binary codes capable of correcting spurious insertions and deletions of ones. Problems of Information Transmission, 1:8-17, 1965.
3. D. D. Lewis, S. Argamon, G. Agam, O. Frieder, D. Grossman, and J. Heard. Building a test collection for complex document information processing. In SIGIR-06, 2006.
4. B. K. O. Uzuner. A comparative study of language models for book and author recognition. Springer-Verlag GmbH, page 969, 2005.
5. I. Witten, E. Frank, L. Trigg, M. Hall, G. Holmes, and S. Cunningham. Weka: Practical machine learning tools and techniques with Java implementations, 1999.