Skripsi

KEYPHRASE EXTRACTION MENGGUNAKAN PRETRAINED LANGUAGE MODEL ROBERTA DAN POSITION AWARE GRAPH

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Penilaian

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Searching for the desired scientific journal from the many published journals is currently a challenge for researchers because it takes a lot of time. Therefore, the use of keyphrases or keywords that represent the content of scientific journals is needed as a solution to save search time. The keyphrase extraction process is carried out to obtain relevant keyphrases. One of the keyphrase extraction methods is Position Aware Graph combined with a pretrained language model called RoBERTa to represent language vectors. This research aims to create a keyphrase extraction system using Pretrained Language Model RoBERTa and Position Aware Graph. In the test, 100 datasets containing title and abstract data of scientific journals were used. The test results show that the best configuration is keyphrase extraction with the selection of 10 selected keyphrases with an average f1-score value of 0.1434.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407001959	T142121	T1421212024	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1421212024

Publisher

Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer., 2024

Collation

xvii, VI-2 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

003.107

Content Type

Text

Media Type

unmediated

Carrier Type

unspecified

Edition

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Subject(s)

Prodi Teknik Informatika
Model Sistem

Specific Detail Info

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Statement of Responsibility

UIN Farrah

Other version/related

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