Keywords Recommender for Scientific Papers Using Semantic Relatedness and Associative Neural Network

Senin, 26 Oktober 2020 - 08:29
Dokumen Lampiran
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1Keywords Recommender for Scientific Papers Using Semantic
Relatedness and Associative Neural Network
keywords-recommender.pdf329 KB
Keywords Recommender for Scientific Papers Using Semantic
Relatedness and Associative Neural Network
 
 
Ketua : IRFAN DWIGUNA SUMITRA S.Kom, M.Kom, P.h D
Department of Information Management
Universitas Komputer Indonesia
Indonesia
 
Anggota : F Nugroho
Department of Postgraduate of Information System
Universitas Komputer Indonesia
Indonesia
 
Email : fajarnugroho.id@gmail.com
 

Abstract. The purpose of this paper is to extract keywords from scientific papers. Keyword
extraction is used to assist in suggesting keywords for indexers or to produce a summary in a
form of keywords for scientific writings. Scientific writings are also categorized as structured
document because the scientific papers have parts such as title, abstract, content, and conclusion,
so we are going to find important information on those parts. So the method that suitable was
Associative Neural Network Algorithm and using trained Associative Neural network with
chosen keywords data sets we are able to find keywords features in scientific documents. So the
automated keywords extraction and pre-included keywords from the writer will be compared to
choose either the most relevant or complementary and providing recommendation or perhaps the
extracted automated keywords and the keywords from the writer are exactly the same.