Open AccessTopic Modeling for Twitter Users Regarding the "Ruanggguru" Application
Author(s) -
Bagus Wicaksono Arianto,
Gangga Anuraga
Publication year - 2020
Publication title -
jurnal ilmu dasar
Language(s) - English
Resource type - Journals
ISSN - 2442-5613
DOI - 10.19184/jid.v21i2.17112
Subject(s) - latent dirichlet allocation , social media , topic model , computer science , microblogging , world wide web , information retrieval
PT Ruang Raya Indonesia ("Ruangguru") is the largest and most comprehensive technology company in Indonesia that focuses on education-based services. In 2019 there were 15 million Ruangguru users and 300.00 teachers who had joined and were present in 32 provinces in Indonesia. It prepared a number of expansion strategies to become a company valued at more than US $ 1 billion in the next year or two. The purpose of this research is to classify the opinions of Ruangguru users about the services provided so that it can be an evaluation material in improving their services using the latent direchlet allocation method. The data used comes from a collection of tweets of Twitter users in Indonesia using the Twitter API. The Twitter account used in this study is @ruangguru. The results of the analysis showed that the public perception of Twitter users by using latent dirichlet allocation was formed into 28 topics.Keywords: latent dirichlet allocation, ruangguru, twitter.