EKSTRAKSI KATA KUNCI PADA ARTIKEL BERBAHASA INDONESIA MENGGUNAKAN METODE RAKE

MAHARANI, ADYS SYAKHIRA and Yusliani, Novi and Rachmatullah, Muhammad Naufal (2024) EKSTRAKSI KATA KUNCI PADA ARTIKEL BERBAHASA INDONESIA MENGGUNAKAN METODE RAKE. Undergraduate thesis, Sriwijaya University.

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Abstract

The increasing number of scientific articles presents a challenge for researchers in quickly accessing relevant information. One of the main challenges is determining efficient keywords. To address this, an automatic keyword extraction system becomes an essential solution, aimed at developing and evaluating methods for keyword extraction to accelerate the search and management of information from scientific articles. This study will perform keyword extraction using a statistical approach through the Rapid Automatic Keyword Extraction (RAKE) method. The results show that the best configuration without cosine similarity in post-processing produced an f-score of 0.0527 (title and abstract) and 0.0066 (entire article), while with cosine similarity, it resulted in an f-score of 0.1312 (title and abstract) and 0.223 (entire article). Although the RAKE method was successfully applied, the results were not optimal.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Ekstraksi Kata Kunci, Artikel Ilmiah, Rapid Automatic Keyword Extraction.
Subjects:	Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76 Computer software T Technology > T Technology (General) > T1-995 Technology (General) T Technology > T Technology (General) > T1-995 Technology (General) > T1 Periodicals and societies. By language of publication: English
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Adys Syakhira Maharani
Date Deposited:	07 Jan 2025 03:15
Last Modified:	07 Jan 2025 03:15
URI:	http://repository.unsri.ac.id/id/eprint/162757

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