TEXT CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE
The development of the Internet has increased the need for daily online information storage. Finding the correct information that we are interested in takes a lot of time, so the use of techniques for organizing and processing text data are needed. These techniques are called text classification or...
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Trường Đại học Đà Lạt
2023
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| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/114322 https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/536 |
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oai:scholar.dlu.edu.vn:DLU123456789-1143222023-10-27T14:45:07Z TEXT CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE Lê, Thị Minh Nguyện The development of the Internet has increased the need for daily online information storage. Finding the correct information that we are interested in takes a lot of time, so the use of techniques for organizing and processing text data are needed. These techniques are called text classification or text categorization. There are many methods of text classification, but for this paper we study and apply the Support Vector Machine (SVM) method and compare its effect with the Naïve Bayes probability method. In addition, before implementing text classification, we performed preprocessing steps on the training set by extracting keywords with dimensional reduction techniques to reduce the time needed in the classification process. 2023-03-04T08:25:01Z 2023-03-04T08:25:01Z 2019 Article 0866-787X https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/114322 https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/536 10.37569/DalatUniversity.9.2.536(2019) en Tạp chí Khoa học Đại học Đà Lạt, Tập 9, Số 2; tr. 3-19 application/pdf Trường Đại học Đà Lạt |
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English |
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The development of the Internet has increased the need for daily online information storage. Finding the correct information that we are interested in takes a lot of time, so the use of techniques for organizing and processing text data are needed. These techniques are called text classification or text categorization. There are many methods of text classification, but for this paper we study and apply the Support Vector Machine (SVM) method and compare its effect with the Naïve Bayes probability method. In addition, before implementing text classification, we performed preprocessing steps on the training set by extracting keywords with dimensional reduction techniques to reduce the time needed in the classification process. |
| format |
Article |
| author |
Lê, Thị Minh Nguyện |
| spellingShingle |
Lê, Thị Minh Nguyện TEXT CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE |
| author_facet |
Lê, Thị Minh Nguyện |
| author_sort |
Lê, Thị Minh Nguyện |
| title |
TEXT CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE |
| title_short |
TEXT CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE |
| title_full |
TEXT CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE |
| title_fullStr |
TEXT CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE |
| title_full_unstemmed |
TEXT CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE |
| title_sort |
text classification based on support vector machine |
| publisher |
Trường Đại học Đà Lạt |
| publishDate |
2023 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/114322 https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/536 |
| _version_ |
1819833680296673280 |