OCR错误对文体文本分类的影响

Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval Pub Date : 2006-08-06 DOI:10.1145/1148170.1148325

S. Stein, S. Argamon, O. Frieder

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引用次数: 5

摘要

最近，人们对非主题文本分类任务的兴趣越来越大，如体裁分类、情感分析和作者分析。我们研究了OCR误差在多大程度上影响扫描文档的文体分类。我们发现，即使在OCRed文档中出现相对较高的错误，也不会实质性地影响文体分类的准确性。

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The effect of OCR errors on stylistic text classification

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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Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval

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