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Text-mining based journal splitting (2003)
| Venue: | Proceedings of ICDAR 2003 |
| Citations: | 6 - 4 self |
BibTeX
@INPROCEEDINGS{Lin03text-miningbased,
author = {Xiaofan Lin and Xiaofan Lin},
title = {Text-mining based journal splitting},
booktitle = {Proceedings of ICDAR 2003},
year = {2003},
pages = {1075--1079}
}
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Abstract
table of contents, OCR, journal splitting, text mining, text chunking, document understanding This paper introduces a novel journal splitting algorithm. It takes full advantage of various kinds of information such as text match, layout and page numbers. The core procedure is a highly efficient text-mining algorithm, which detects the matched phrases between the content pages and the title pages of individual articles. Experiments show that this algorithm is robust and able to split a wide range of journals, magazines and books.
