SISFOTENIKA
Vol 10, No 2 (2020): SISFOTENIKA

Analysis of Name Entities in Text Using Robust Disambiguation Method

Muthia Virliani (Telkom University)
Moch. Arif Bijaksana (Telkom University)
Arie Ardiyanti Suryani (Telkom University)



Article Info

Publish Date
25 May 2020

Abstract

Named entities are proper nouns or objects contained in a text, such as a person's name, country name, and others. Names of persons in some text are often ambiguous, which makes it difficult for ordinary people to find out these same names are the same person or not.  An ambiguity of names also found in hadith, like the name Abdullah in hadith number 86 and 2411, that might be the same person or might be different. Based on this problem, then this study focuses on named entity disambiguation, which considered further semantic and lexical relation between a named entity. Expected in the future, it would help people to understand the ambiguity of the name or distinguish ambiguous names. The method used in this research was Robust Disambiguation because, in this method, the context of the named entity considered. The resulted output obtained was in the form of named entity that grouped based on the same person or different person processed with Density-based Spatial Clustering of Applications with Noise.  This research resulted in an accuracy value of 90%, a precision value of 97%, and a recall value of 89% obtained from actual value and predicted value

Copyrights © 2020






Journal Info

Abbrev

st

Publisher

Subject

Computer Science & IT

Description

Jurnal Ilmiah SISFOTENIKA diterbitkan oleh LPPM STMIK Pontianak dan IndoCEISS. Frekuensi Terbit Tengah Tahunan (2 kali dalam setahun, yaitu bulan Januari dan Juli). Topik yang akan dipublikasikan oleh jurnal SISFOTENIKA berhubungan dengan teknologi informasi, komunikasi dan komputer yang berbentuk ...