A Balinese folklore digital portal with natural language processing framework
- DOI
- 10.2991/978-94-6463-413-6_2How to use a DOI?
- Keywords
- framework; digital portal; natural language processing; Balinese
- Abstract
Balinese story is one of the cultural heritages that are filled with local wisdom. These stories were often passed on orally from one generation to the next. The advancement of information technology and more accessible internet connection have opened opportunities for preserving these Balinese stories in a digital portal. In this research, we developed a digital portal which is equipped with advanced features built with a natural language processing framework. These features include grouping of stories with similar topics, summarizing the story by extracting meaningful sentences and applying a Genetic algorithm to maximize the features’ weight, and automatically identifying the characters in each story. These features are integrated into a server-side Balinese natural language processing framework. The framework is applied to the collection of Balinese stories on the portal and any new story added to the collection. Experiment results on the portal show that as many as 77.83% of respondents gave a reasonable opinion of the portal.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ngurah Agus Sanjaya ER AU - Ni Luh Nyoman Seri Malini AU - I Made Widiartha AU - Pijar Candra Mahatagandha PY - 2024 DA - 2024/05/13 TI - A Balinese folklore digital portal with natural language processing framework BT - Proceedings of the First International Conference on Applied Mathematics, Statistics, and Computing (ICAMSAC 2023) PB - Atlantis Press SP - 4 EP - 16 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-413-6_2 DO - 10.2991/978-94-6463-413-6_2 ID - SanjayaER2024 ER -