Using One-Class SVM for Scientific Documents Classification (Case study: Iranian Environmental Thesis)

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RABIEI MOHAMMAD; HOSSEINI MOTLAGH SEYYED MAHDI; MINAEI BIDGOLI BEHROUZ

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Journal: Iranian Journal of Information Processing & Management Year:2019 | Volume:34 | Issue:3 Page(s): 1211-1234

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Title

Using One-Class SVM for Scientific Documents Classification (Case study: Iranian Environmental Thesis)

Author(s)

RABIEI MOHAMMAD | HOSSEINI MOTLAGH SEYYED MAHDI | MINAEI BIDGOLI BEHROUZ | Issue Writer Certificate

Keywords

EnvironmentQ1

One-Class ClassificationQ1

Support Vector Machine (SVM)Q1

Text MiningQ1

NG-TF WeighingQ1

Abstract

The classification of research studies is important in order to identify and analyze the research supply and demand in various fields of science. In particular, the classification of Environmental research is essential because of its importance in Iran and its interdisciplinary nature. This research proposes One-Class Classification (OCC) method to classify the research studies in this domain using Support Vector Machine (SVM) and consequently evaluates important parameters affecting the quality of this classification. The results show that the use of descriptive metadata has better performance than the content metadata in order to make a core data set to learn the model. Moreover, the use of the polynomial kernel and the binary weighing of words in the features vector matrix leads to better results than other states. In this paper a new weighing method has been proposed which is superior to the other methods especially in precision criterion. We call this weighing method as NG-TF, which can be used in term-document matrix to determine the indicator terms of scientific domains.

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APA: Copy

RABIEI, MOHAMMAD, HOSSEINI MOTLAGH, SEYYED MAHDI, & MINAEI BIDGOLI, BEHROUZ. (2019). Using One-Class SVM for Scientific Documents Classification (Case study: Iranian Environmental Thesis). IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), 34(3 ), 1211-1234. SID. https://sid.ir/paper/131079/en

Vancouver: Copy

RABIEI MOHAMMAD, HOSSEINI MOTLAGH SEYYED MAHDI, MINAEI BIDGOLI BEHROUZ. Using One-Class SVM for Scientific Documents Classification (Case study: Iranian Environmental Thesis). IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY)[Internet]. 2019;34(3 ):1211-1234. Available from: https://sid.ir/paper/131079/en

IEEE: Copy

MOHAMMAD RABIEI, SEYYED MAHDI HOSSEINI MOTLAGH, and BEHROUZ MINAEI BIDGOLI, “Using One-Class SVM for Scientific Documents Classification (Case study: Iranian Environmental Thesis),” IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), vol. 34, no. 3 , pp. 1211–1234, 2019, [Online]. Available: https://sid.ir/paper/131079/en

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