Bulletin of Data Science
Vol 1 No 2 (2022): Februari 2022

Penerapan Algoritma Maximum Marginal Relevance Dalam Peringkasan Teks Secara Otomatis

Ade Kurniawan (Universitas Budi Darma, Medan)
Mohd Irsan Humaidy (Universitas Budi Darma, Medan)

Article Info

Publish Date
28 Feb 2022

Abstract

The search engine is a device for searching information from available documents. But the search engine will give you a lot of search results, so to find a document we have to open a meeting. Text summarization allows us to get key information from a document quickly without requiring us to read the contents of the document manually.One of the methods used is Maximum Marginal Relevance (MMR). MMR belongs to the extractive summary category (choosing the sentence in the document as the main sentence of the document content). MMR is done by weighting each sentence in the document.It is hoped that with the application of the Maximum Marginal Relevance Method this automatic summary of text can reduce the level of data redundancy and can help readers understand the meaning of the summary results and provide good information

Copyrights © 2022




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Full PDF
498.828 KB
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
Bulletin of Data Science
Website

Abbrev

bulletinds

Publisher

Forum Kerjasama Pendidikan TInggi

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

Description

Bulletin of Data Science journal publishes manuscripts within the fields of: 1. Soft Computing, 2. Experts System, 3. Decision Support System, 4. Cryptography, 5. Big Data, 6. Data Mining, 7. Artificial Inteligence, and ...