PENGARUH ALGORITMA SEMANTIC SUFFIX TREE CLUSTERING TERHADAP TINGKAT AKURASI SISTEM TANYA JAWAB BAHASA INDONESIA

ISNURTHINA, DININTA and Jambak, M. Ihsan and Yusliani, Novi (2018) PENGARUH ALGORITMA SEMANTIC SUFFIX TREE CLUSTERING TERHADAP TINGKAT AKURASI SISTEM TANYA JAWAB BAHASA INDONESIA. Undergraduate thesis, Sriwijaya University.

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Abstract

This research analyzes the comparison between Semantic Suffix Tree Clustering (SSTC) algorithm and Suffix Tree Clustering (STC) algorithm in clustering documents on Indonesian Question Answering System. Comparison result shows that the accuracy rate oflndonesian Question Answering System afier the documents is clustered by SSTC is lower than by STC. The accuracy rate degradation occurred in almost every question category. except definition category. In average, the accuracy rate obtained by Indonesian Question Answering System with SSTC is only 23,31 %. while Indonesian Question Answering System with STC is able to obtain 83% accuracy rate. This significant difference shows that Semantic Suffix Tree Clustering algorithm is not suitable in the context of document clustering on Indonesian Question Answering System.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Factoid. non-factoid, question answering system, semantic suffix tree clustering. suffix tree clustering
Subjects: T Technology > T Technology (General) > T1-995 Technology (General) > T10 Bilingual and polyglot Communication of technical information
Divisions: Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Mrs Kharisma Afrianti
Date Deposited: 11 Oct 2019 07:15
Last Modified: 11 Oct 2019 07:15
URI: http://repository.unsri.ac.id/id/eprint/11493

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