Automated online news classification with personalization
Classification of online news, in the past, has often been done manually. In our proposed Categorizor system, we have experimented an automated approach to classify online news using the Support Vector Machine (SVM). SVM has been shown to deliver good classification results when ample training docum...
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2001
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sg-smu-ink.sis_research-19122018-06-22T03:02:31Z Automated online news classification with personalization CHAN, Chee-Hong SUN, Aixin LIM, Ee Peng Classification of online news, in the past, has often been done manually. In our proposed Categorizor system, we have experimented an automated approach to classify online news using the Support Vector Machine (SVM). SVM has been shown to deliver good classification results when ample training documents are given. In our research, we have applied SVM to personalized classification of online news. 2001-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/913 https://ink.library.smu.edu.sg/context/sis_research/article/1912/viewcontent/e567cc999879ca57e427fd8da3c82810c2b3.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Digital Communications and Networking |
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Databases and Information Systems Digital Communications and Networking |
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Databases and Information Systems Digital Communications and Networking CHAN, Chee-Hong SUN, Aixin LIM, Ee Peng Automated online news classification with personalization |
| description |
Classification of online news, in the past, has often been done manually. In our proposed Categorizor system, we have experimented an automated approach to classify online news using the Support Vector Machine (SVM). SVM has been shown to deliver good classification results when ample training documents are given. In our research, we have applied SVM to personalized classification of online news. |
| format |
text |
| author |
CHAN, Chee-Hong SUN, Aixin LIM, Ee Peng |
| author_facet |
CHAN, Chee-Hong SUN, Aixin LIM, Ee Peng |
| author_sort |
CHAN, Chee-Hong |
| title |
Automated online news classification with personalization |
| title_short |
Automated online news classification with personalization |
| title_full |
Automated online news classification with personalization |
| title_fullStr |
Automated online news classification with personalization |
| title_full_unstemmed |
Automated online news classification with personalization |
| title_sort |
automated online news classification with personalization |
| publisher |
Institutional Knowledge at Singapore Management University |
| publishDate |
2001 |
| url |
https://ink.library.smu.edu.sg/sis_research/913 https://ink.library.smu.edu.sg/context/sis_research/article/1912/viewcontent/e567cc999879ca57e427fd8da3c82810c2b3.pdf |
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1770570768246112256 |