KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Vol. 8 No. 1 (2022): Kalbisiana

Perbandingan Penggunaan Metode Part-of-speech pada Bahasa Indonesia Menggunakan Metode N-Gram, TnT, dan Classifier Based

Krisna Fernando (Institut Teknologi dan Bisnis Kalbis)
Yulius Denny Prabowo (Institut Teknologi dan Bisnis Kalbis)

Article Info

Publish Date
18 May 2022

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.

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Journal Info
KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Website

Abbrev

kalbisiana

Publisher

UNIVERSITAS KALBIS

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

Description

KALBISIANA Jurnal Sains, Bisnis dan Teknologi adalah jurnal akses terbuka akademik yang bertujuan untuk mempromosikan integrasi sains, bisnis dan teknologi. Fokusnya adalah menerbitkan makalah tentang sains, bisnis dan teknologi. Makalah yang dikirimkan akan ditinjau oleh komite teknis jurnal. Semua ...