Peringkasan Teks Bahasa Indonesia Secara Otomatis Menggunakan Metode LSA

Akbar, Reza (2018) Peringkasan Teks Bahasa Indonesia Secara Otomatis Menggunakan Metode LSA. Other thesis, Universitas Katolik Musi Charitas.

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Abstract

The process of getting information from text documents correctly can be done by reading the entire text. Reading the entire contents of the text certainly takes a longer time compared to reading a summary of the text. With a summary, readers can quickly and easily understand the contents of a text without reading the entire contents. Automatic Text Summarization is a process which a computer makes a shorter version of the original text (or a collection of several texts) that still contains most of the information in the original text. This summary result contains important points from the original text. This study uses Latent Semantic Analysis (LSA) for the process of summarizing text documents. The LSA method can represent the meaning of words and meanings of sentences together. The average value of precision is 64.2%, recall is 70.0% and accuracy is 81.2%.

Item Type:	Thesis (Other)
Additional Information:	Skripsi Lengkap dapat dibaca di Ruang Referensi Perpustakaan UKMC Kampus Bangau.
Uncontrolled Keywords:	Information, Automatic Text Summarization, Latent Semantic Analysis (LSA).
Subjects:	T Technology > T Technology (General)
Divisions:	Theses - S1 > Informatics Study Program
Depositing User:	Perpustakaan Unika Musi Charitas
Date Deposited:	01 Dec 2018 00:56
Last Modified:	01 Dec 2018 00:56
URI:	http://eprints.ukmc.ac.id/id/eprint/1755

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