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QUESTION ANSWERING TERJEMAH AL QUR’AN MENGGUNAKAN NAMED ENTITY RECOGNITION

Jurnal Ilmiah Informatika

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Title QUESTION ANSWERING TERJEMAH AL QUR’AN MENGGUNAKAN NAMED ENTITY RECOGNITION
 
Creator Lidimilah, Lukman Fakih
 
Subject rule based
named entity recognition
vector space model
rule based
named entity recognition
vector space model
 
Description Al Quran is the guidance of all Muslims all over  the world, including Indonesian society that most of the people are moslem. the purpose of this research is to help the society for seeking the quranic proposition in the free question forms or more often known Question Answering System (QAS). In this study the algorithm used to provide the answers is Rule Based. Rule Based on previous research by indexing documents using lucene with the same set of data and same category (Who, When, and Where) getting low accuracy result (60%, 60%, and 40%). In this research, the improvement of architecture by involving Named Entity Recognition (NER) and improvement of indexing and determination of candidate answer using Vector Space Model. The results of the improved architecture are proven  increased  accuracy with each accuracy of each category of 90%, 80%, and 50%.
 
Publisher Department of Science and Technology Ibrahimy University
 
Date 2017-12-12
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://journal.ibrahimy.ac.id/index.php/JIMI/article/view/466
10.35316/jimi.v2i2.466
 
Source Jurnal Ilmiah Informatika; Vol. 2 No. 2 (2017): Jurnal Imliah Informatika; 139-145
2549-6301
2549-7480
10.35316/jimi.v2i2
 
Language ind
 
Relation https://journal.ibrahimy.ac.id/index.php/JIMI/article/view/466/451
 
Rights Copyright (c) 2017 Jurnal Ilmiah Informatika
https://creativecommons.org/licenses/by-nc/4.0