Muludi, Kurnia and Kuspriyanto, Kuspriyanto and Santoso, Oerip and Widyantoro, Dwi Hendratmo (2008) Evaluasi Kinerja Algoritma Suport Vector Machine Dalam Ekstraksi Informasi Korpus Berbahasa Indonesia. Jurnal Penelitian dan Pengembangan Telekomunikasi, 13 (12). pp. 87-91. ISSN 1410-7066

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Abstract

The rapid growth of internet causes the abudance of textual information. It is neccesary to have smart tools and methods that can access text content as needed. One of the success methods is support Vector Machine (SVM). In this paper we will discuss SVM-GATE performance in extracting information on Bahasa Indonesia Corpus. The experimental results show that SVM-GATE performance increases as the training sample number grows. The best performace is shown when tau margin is 0.3 and window size is 4. In this composition F-measure are 49.64% (strict) and 58.45% (lenient).

Item Type: Article
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Ilmu Komputer
Depositing User: Kurnia Muludi
Date Deposited: 25 Apr 2018 08:29
Last Modified: 25 Apr 2018 08:29
URI: http://repository.lppm.unila.ac.id/id/eprint/6587

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