KLASIFIKASI AUTHOR PADA DATA BIBLIOGRAFI MENGGUNAKAN DEEP NEURAL NETWORK DAN SUPPORT VECTOR MACHINE

NUGRAHA, TIO ARTHA and Firdaus, Firdaus (2019) KLASIFIKASI AUTHOR PADA DATA BIBLIOGRAFI MENGGUNAKAN DEEP NEURAL NETWORK DAN SUPPORT VECTOR MACHINE. Undergraduate thesis, Sriwijaya University.

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Abstract

Author Name Disambiguation (AND) is a problem of name ambiguity to the publication in a Digital Library (DL) database caused by the Homonymity and Synonymity of the author's name. The proposed method is a Deep Neural Network (DNN) and Support Vector Machine (SVM) to classify data. The DBLP Labeled Data dataset by Jinseok Kim, et. al. is used for the classification task. This study concerned with processing data with the techniques of normalization and transformation data to create an effective feature for classification. The performance evaluation of the research conducted is accuracy, precision, and recall. The parameters are important to evaluate the AND classification process, especially the identification of the author. For the result, DNN achieves accuracy, precision, and recall, which is 99.98%, 97.71%, and 97.83%, respectively. In addition, SVM produces accuracy, precision, and recall 99.98%, 95.33%, 95.09%, respectively. From the comparison of the two classification methods, DNN outperformed SVM for data classification and author identification.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	digital library, bibligraphic data, author name disambiguation, homonym, synonym, deep neural network, support vector machine
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. Q Science > QA Mathematics > QA299.6-433 Analysis > Q334.A755 Artificial intelligence. Computational linguistics. Computer science.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 3681 not found.
Date Deposited:	06 Jan 2020 08:31
Last Modified:	06 Jan 2020 08:31
URI:	http://repository.unsri.ac.id/id/eprint/23169

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