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Deep Neural Network Structure to Improve Individual Performance based Author Classification

2019; Sriwijaya University; Volume: 8; Issue: 1 Linguagem: Inglês

10.18495/comengapp.v8i1.264

2252-5459

Firdaus Firdaus, Muhammad Anshori, Sarifah Putri Raflesia, Ahmad Zarkasi, Mira Afrina, Siti Nurmaini,

Topic Modeling

This paper proposed an improved method for author name disambiguation problem, both homonym and synonym. The data prepared is the distance data of each pair of author’s attributes, Levenshtein distance are used. Using Deep Neural Networks, we found large gains on performance. The result shows that level of accuracy is 99.6% with a low number of hidden layers