Proceedings of the 1 st International Conference on Information Technology and Education (ICITE 2020)

Exploring the Implementation of Automatic Text Summarization in Online Learning Setting

Authors
Agus Wedi, Saida Ulfa, Ashar Pakkawaru, Rex Bringula
Corresponding Author
Saida Ulfa
Available Online 15 December 2020.
DOI
https://doi.org/10.2991/assehr.k.201214.203How to use a DOI?
Keywords
automatic text summarization, online learning, text mining
Abstract
Automatic text summatization is a technique of text mining which is a field of natural language processing. It summarizes a long text file or document automatically into several sentences without losing its essence. The use of automatic text summarization in the online learning context has not been widely studied. The purpose of this study is to explore the implementation of automatic text summarization in the online learning context from the year 2010 to 2020. This study uses a literature review process and the results of this study provide an overview of the use of text summarization in online learning context.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Agus Wedi
AU  - Saida Ulfa
AU  - Ashar Pakkawaru
AU  - Rex Bringula
PY  - 2020
DA  - 2020/12/15
TI  - Exploring the Implementation of Automatic Text Summarization in Online Learning Setting
BT  - Proceedings of the 1 st International Conference on Information Technology and Education (ICITE 2020)
PB  - Atlantis Press
SP  - 5
EP  - 8
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201214.203
DO  - https://doi.org/10.2991/assehr.k.201214.203
ID  - Wedi2020
ER  -