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http://dx.doi.org/10.14400/JDC.2020.18.5.075

Analysis of Issues Related to Artificial Intelligence Based on Topic Modeling  

Noh, Seol-Hyun (Department of Statistical Data Science, ICT Convergence Engineering, Anyang University)
Publication Information
Journal of Digital Convergence / v.18, no.5, 2020 , pp. 75-87 More about this Journal
Abstract
The present study determined new value that can be created through the convergence between artificial intelligence technology (AIT) and all industries by deriving and thoroughly analyzing major issues related to artificial intelligence (AI). This study analyzes domestic articles related to AI using topic modeling method based on LDA algorithm. Keywords were extracted from 3,889 articles of eleven metropolitan newspapers, eight business newspapers and major broadcasting companies; articles were selected by searching for the keyword "artificial intelligence". Keywords were extracted by optimizing the relevance parameter λ to improve the measure of pointwise mutual information (PMI), which shows the association among the keywords of each topic, and topic names were inferred from keywords based on valid evidence. The extracted topics widely showed changes occurring throughout society, economy, industries, culture, and the support policy and vision of the government.
Keywords
topic modeling; LDA algorithm; AI; issues analysis; knowledge management; big data;
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