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Amala, Ihsan Ahsanu
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Computer Science & IT

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Telkom University News Topic Modeling Using Latent Semantic Analysis (LSA) Method on Online News Portal Amala, Ihsan Ahsanu; Richasdy, Donni; Purbolaksono, Mahendra Dwifebri
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (415.709 KB) | DOI: 10.47065/bits.v4i1.1584

Abstract

In this day and age, the development of online news portals regarding news is quite easy to access, online news portals are information that explains an event that has occurred or is happening with electronic media intermediaries, as well as news about Telkom University which is quite easily accessible through online news portals. A system has been designed that is capable of modeling Telkom University news topics. Modeling news topics is very interesting to be used as research material because the process of understanding each individual on the topics contained in the news is different, therefore topic modeling is needed to find out what topics are news about Telkom University. In this study, a Latent Semantic Analysis (LSA) model has been designed to carry out a topic modeling process that aims to make it easier for readers to understand news topics related to Telkom University, Latent Semantic Analysis (LSA) is a mathematical method in finding hidden topics by analyzing the structure semantics of the text. After doing several research scenarios, the best coherence score was 0.524 with a total of six topics.
Co-Authors Donni Richasdy Mahendra Dwifebri Purbolaksono