Exploring The Capabilities Of Luhn Summarization, Bart, Pegasus, And Claude LLM For News Summarization

Arisudana, Gede Yoga (2024) Exploring The Capabilities Of Luhn Summarization, Bart, Pegasus, And Claude LLM For News Summarization. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

The purpose of this bachelor thesis is to explore and compare the capabilities of Luhn summarization, BART, Pegasus, and Claude LLM for news summarization, leveraging open-source resources. This will provide the text summarization model for each analyzed technique, analyze each text summarization model's performance using specific metrics, and conclude by comparing the outcome metrics from each summarization model.
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Tujuan dari skripsi ini adalah untuk mengeksplorasi dan membandingkan kemampuan ringkasan Luhn, BART, Pegasus, dan Claude LLM untuk ringkasan berita, dengan memanfaatkan sumber daya sumber terbuka. Ini akan memberikan model ringkasan teks untuk setiap teknik yang dianalisis, menganalisis kinerja setiap model ringkasan teks menggunakan metrik tertentu, dan menyimpulkan dengan membandingkan metrik hasil dari setiap model ringkasan.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	luhn summarization, BART, pegasus, claude LLM, news summarization, kemampuan ringkasan luhn, ringkasan berita
Subjects:	T Technology > T Technology (General) > T59.7 Human-machine systems.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User:	Gede Yoga Arisudana
Date Deposited:	05 Sep 2024 06:24
Last Modified:	05 Sep 2024 06:24
URI:	http://repository.its.ac.id/id/eprint/112294

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