A Method of Trend Analysis using Latent Dirichlet Allocation
Myeong-Ha Hwang, Suwook Ha, Minkyo In, Kangchan Lee · International Journal of Control and Automation · 2018
Due to the introduction of text mining, studies have been conducted to analyze meaningful topics and trends in document collections.Trend analysis using Latent Dirichlet Allocation (LDA) in text mining is adopted as one of the trend analysis methods with high accuracy.In this paper, we propose a trend analysis method using LDA.The method is composed of 5 steps and the trend analysis is performed by topic using the extracted result combining LDA and Top 10 keywords.By applying our method and LDA to international standards documents, we performed topic modeling and checked the trend of international standards using extracted topics.