DocumentCode :
3740501
Title :
Effective 20 Newsgroups Dataset Cleaning
Author :
Khaled Albishre;Mubarak Albathan;Yuefeng Li
Author_Institution :
Sci. &
Volume :
3
fYear :
2015
Firstpage :
98
Lastpage :
101
Abstract :
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.
Keywords :
"Cleaning","Text mining","Feature extraction","Electronic mail","Natural language processing","Noise measurement","Testing"
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2015 IEEE / WIC / ACM International Conference on
Type :
conf
DOI :
10.1109/WI-IAT.2015.90
Filename :
7397431
Link To Document :
بازگشت