Open AccessA Review Paper on Automatic Text Summarization in Indonesia Language
Author(s) -
Nurul Khotimah,
Adi Wibowo P,
Bryan Andreas,
Abba Suganda Girsang
Publication year - 2021
Publication title -
international journal emerging technology and advanced engineering
Language(s) - English
Resource type - Journals
ISSN - 2250-2459
DOI - 10.46338/ijetae0821_11
Subject(s) - automatic summarization , computer science , natural language processing , artificial intelligence , text graph , natural language , multi document summarization , fuzzy logic , information retrieval
Text summarization is one problem in natural language processing that generates a brief version of the original document. This research took attention for some researchers in this last decade and growing fast, including Indonesia language. This paper aims to recap summarization text research especially in Indonesia language. As usual, this paper discusses two summarization approaches, extractive and abstractive. In fact, the number of research of extractive is more than abstractive. This paper investigates some methods such as Statistical Based Approach, Graph Based Approach, Machine Learning Approach, Fuzzy Logic Approach, Algebraic Approach, and Hybrid Approach. This paper shows some methods details and summarize the results. Keywords— Text summarization, extractive summary, abstractive summary, natural language processing