KEYPHRASE EXTRACTION MENGGUNAKAN TEXTRANK UNTUK TEXT BERBAHASA INDONESIA

MUHAMMAD, FADEL and Yusliani, Novi and Rachmatullah, Muhammad Naufal (2023) KEYPHRASE EXTRACTION MENGGUNAKAN TEXTRANK UNTUK TEXT BERBAHASA INDONESIA. Undergraduate thesis, Sriwijaya University.

	Text RAMA_55201_09021381924153.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
	Text RAMA_55201_09021381924153_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (5MB) | Request a copy
Preview	Text RAMA_55201_09021381924153_0008118205_0001129204_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB) | Preview
	Text RAMA_55201_09021381924153_0008118205_0001129204_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (370kB) | Request a copy
	Text RAMA_55201_09021381924153_0008118205_0001129204_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (284kB) | Request a copy
	Text RAMA_55201_09021381924153_0008118205_0001129204_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (578kB) | Request a copy
	Text RAMA_55201_09021381924153_0008118205_0001129204_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (396kB) | Request a copy
	Text RAMA_55201_09021381924153_0008118205_0001129204_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (252kB) | Request a copy
	Text RAMA_55201_09021381924153_0008118205_0001129204_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (482kB) | Request a copy

Abstract

Keywords are commonly used as a form of summary from scientific publications. But in determining keywords, it requires expertise in the related field and a long amount of time because you have to read and understand the entire contents of scientific publications. Keyphrase Extraction can be a solution to get relevant keywords in a short time based on titles and abstracts from scientific publications. TextRank method is used to extract keywords. This research will perform keyword extraction using the TextRank method for Indonesian text. The evaluation results of this study showed an accuracy value of 95.53% and an f1-score of 59.32% with a threshold configuration of 80% and using all keyword candidates.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Keyphrase Extraction, TextRank, Text Berbahasa Indonesia
Subjects:	T Technology > T Technology (General) > T59.5 Automation
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Fadel Muhammad
Date Deposited:	09 Feb 2023 05:31
Last Modified:	09 Feb 2023 05:31
URI:	http://repository.unsri.ac.id/id/eprint/87735

Actions (login required)

View Item