Open AccessTopic Modeling in the News Document on Sustainable Development Goals
Author(s) -
Hidayatul Fitri,
Widyawan Widyawan,
Indah Soesanti
Publication year - 2021
Publication title -
ijitee (international journal of information technology and electrical engineering)
Language(s) - English
Resource type - Journals
ISSN - 2550-0554
DOI - 10.22146/ijitee.67467
Subject(s) - latent dirichlet allocation , topic model , computer science , government (linguistics) , sustainable development , categorization , news media , political science , process (computing) , information retrieval , artificial intelligence , linguistics , philosophy , law , operating system
Indonesia is a developing country and supports the program of the Sustainable Development Goals (SDGs) which consist of 17 goals. SDGs is not only the government’s duty, but a shared duty from any elements. Online media has a crucial role in implementing goals of Indonesia’s SDG. Information published in online news related to the SDGs is an important consideration for the government, society, and all elements. Categorizing news manually to find out news topics is very time-consuming and done by the ability of news editors. News presented by online media on the news site can be used as topic modeling, where hidden topics can be found in the news on online media. Topic modeling will classify data based on a particular topic and determine the relationship between text. Latent Dirichlet allocation (LDA) is one of the methods on topic modeling to find out the trend of topics of SDGs news. Based on the result of this research, the implementation of LDA is the right choice for finding topics in a document. The result of topic modeling with k = 17 obtained the highest coherence score of 0.5405 on topic 8. Topic 8 discussed news related to the eighth SDGs goals, namely decent work and economic growth. This categorization was based on words formed after the LDA process. Then, topic 5 discussed the news on the 17th SDGs goals, namely partnerships for the goals. Topic 6 discussed the news of the first SDGs, namely no poverty.