Effective 20 newsgroups dataset cleaning
| Data(s) |
01/12/2015
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|---|---|
| Resumo |
The rapid increase in the number of text documents available on the Internet has created pressure to use effective cleaning techniques. Cleaning techniques are needed for converting these documents to structured documents. Text cleaning techniques are one of the key mechanisms in typical text mining application frameworks. In this paper, we explore the role of text cleaning in the 20 newsgroups dataset, and report on experimental results. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
IEEE |
| Relação |
http://eprints.qut.edu.au/94139/7/94139.pdf DOI:10.1109/WI-IAT.2015.90 Albishre, K., Albathan, M., & Li, Y. (2015) Effective 20 newsgroups dataset cleaning. In 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), IEEE, Singapore, pp. 98-101. |
| Direitos |
Copyright 2015 IEEE |
| Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
| Palavras-Chave | #Internet;information resources;text analysis;Internet;effective 20 Newsgroups dataset cleaning;structured documents;text cleaning technique;text documents;text mining application;Cleaning;Electronic mail;Feature extraction;Natural language processing;Nois |
| Tipo |
Conference Paper |
