Authors:

Ni Putu Ayu Sherly Anggita S, Ngurah Agus Sanjaya ER

Abstract:

“In Natural Language Processing (NLP), Named Recognition Entity (NER) is a sub-discussion widely used for research. The NER’s main task is to help identify and detect the entity-named in the sentence, such as personal names, locations, organizations, and many other entities. In this paper, we present a Location NER system for Balinese texts using a rule-based approach. NER in the Balinese document is an essential and challenging task because there is no research on this. The rule-based approach using human-made rules to extract entity name is one of the most famous ways to extract entity names as well as machine learning. The system aims to identify proper names in the corpus and classify them into locations class. Precision, recall, and F-measure used for the evaluation. Our results show that our proposed model is trustworthy enough, having average recall, precision, and f-measure values for the specific location entity, respectively, 0.935, 0.936, and 0.92. These results prove that our system is capable of recognizing named-entities of Balinese texts.”

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PDF:

https://jurnal.harianregional.com/jlk/full-64461

Published

2021-02-18

How To Cite

ANGGITA S, Ni Putu Ayu Sherly; SANJAYA ER, Ngurah Agus. Location Named-Entity Recognition using Rule-Based Approach for Balinese Texts.JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), [S.l.], v. 9, n. 3, p. 435-442, feb. 2021. ISSN 2654-5101. Available at: https://ojs.unud.ac.id/index.php/JLK/article/view/64461. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/JLK.2021.v09.i03.p15.

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ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol 9 No 3 (2021): JELIKU Volume 9 No 3, Februari 2021

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License