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All Journal KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Krisna Fernando
Institut Teknologi dan Bisnis Kalbis
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

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Perbandingan Penggunaan Metode Part-of-speech pada Bahasa Indonesia Menggunakan Metode N-Gram, TnT, dan Classifier Based Krisna Fernando; Yulius Denny Prabowo
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 1 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

The lack of a corpus in Indonesian makes text processing in Indonesian have little interest in processing the text, therefore the aim of doing POS-Tagging is to do word labeling that takes into account the essence of the sentence based on the words contained in the sentence into a per-word tagset , the tagging process uses the N-gram, TnT, and Classifier Based methods. The three methods are used because the three methods have similar work methods and work by looking at the traces of learning and working on the previous method. The method that produces the optimal tagger of the three methods is the Classifier Based method because this method is a combination of the three methods, so that the tagger results issued are more optimal than the other two methods.
Co-Authors Yulius Denny Prabowo