Open AccessIndonesian Information Extraction : Challenges and Opportunities
Author(s) -
Yan Puspitarani
Publication year - 2021
Publication title -
jatisi (jurnal teknik informatika dan sistem informasi)/jatisi: jurnal teknik informatika dan sistem informasi
Language(s) - English
Resource type - Journals
eISSN - 2503-2933
pISSN - 2407-4322
DOI - 10.35957/jatisi.v8i1.710
Subject(s) - indonesian , information extraction , computer science , process (computing) , confidentiality , information retrieval , data science , linguistics , computer security , philosophy , operating system
Information extraction is part of natural language processing, aiming to find, retrieve, or process information. The data source for information extraction is text. Text cannot be separated from people's daily lives. Through text, a lot of confidential information can be obtained. To produce information, the unstructured text will be converted into structured data. There are many approaches that researchers take to this process. Most of the studies are in English. Therefore, this paper will present current research trends, challenges, and information extraction opportunities using Indonesian.