E-mail classifications using Support Vector machine
Orgnized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 14th - 15th May 2005 at Putra Palace Hotel, Kangar, Perlis.
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Kolej Universiti Kejuruteraan Utara Malaysia
2009
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my.unimap-71602009-09-08T05:17:19Z E-mail classifications using Support Vector machine Ali, Selamat Mariah, Mohd. Daud Email classification Support vector machine (SVM) Feature selection Text categorization Machine learning Text processing (Computer science) Electronic mail systems Orgnized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 14th - 15th May 2005 at Putra Palace Hotel, Kangar, Perlis. - Study on text categorization field contains classification process of text documents into a fixed number of pre-defined categories by user. The paper studies on the classification of email messages based on their categories using Support Vector Machine (SVM). Among classification processes involved are reading input email data from its subject and body, feature extraction process, feature selection process, and feature classification process. Feature extraction process involves word stopping and stemming methods that can reduce the number of dimension of features. We have used the term frequency inverse document frequency (tfidf) for the features selection method. The effectiveness of classification results has been measured using precision and recall criteria. From experiments, the results have shown a higher accuracy in classifying email dataset using the SVM. 2009-09-08T02:50:53Z 2009-09-08T02:50:53Z 2005-05-14 Working Paper p.73-76 http://hdl.handle.net/123456789/7160 en Proceedings of the 1st International Workshop on Artificial Life and Robotics Kolej Universiti Kejuruteraan Utara Malaysia |
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Universiti Malaysia Perlis |
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Asia |
| country |
Malaysia |
| content_provider |
Universiti Malaysia Perlis |
| content_source |
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http://dspace.unimap.edu.my/ |
| language |
English |
| topic |
Email classification Support vector machine (SVM) Feature selection Text categorization Machine learning Text processing (Computer science) Electronic mail systems |
| spellingShingle |
Email classification Support vector machine (SVM) Feature selection Text categorization Machine learning Text processing (Computer science) Electronic mail systems Ali, Selamat Mariah, Mohd. Daud E-mail classifications using Support Vector machine |
| description |
Orgnized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 14th - 15th May 2005 at Putra Palace Hotel, Kangar, Perlis. |
| format |
Working Paper |
| author |
Ali, Selamat Mariah, Mohd. Daud |
| author_facet |
Ali, Selamat Mariah, Mohd. Daud |
| author_sort |
Ali, Selamat |
| title |
E-mail classifications using Support Vector machine |
| title_short |
E-mail classifications using Support Vector machine |
| title_full |
E-mail classifications using Support Vector machine |
| title_fullStr |
E-mail classifications using Support Vector machine |
| title_full_unstemmed |
E-mail classifications using Support Vector machine |
| title_sort |
e-mail classifications using support vector machine |
| publisher |
Kolej Universiti Kejuruteraan Utara Malaysia |
| publishDate |
2009 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/7160 |
| _version_ |
1643788707221733376 |
| score |
13.222552 |