Analysis of Dental Language Network in News Articles Using News Big Data
문경희,
소속 상세정보
문경희 ( Moon Kyung-Hui ) - Jinju Health College Department of Dental Hygiene
Abstract
Objective: This study attempted to analyze the ‘dental’ language network in news articles by using big data provided by social media about dentistry. In order to achieve the purpose of this study, the resources from a total of 54 press companies including Kyunghyang Daily News were collected from January 1st to June 30th, 2020 through Big Kinds and used as data.
Methods: It was analyzed by using Microsoft Excel 2016 (Microsoft, USA) and NetMiner (ver. 4.4.1; Cyram Inc., Korea). Keyword analysis was conducted to identify the language network of dental-related news articles and centrality analysis was conducted to identify keywords.
Results: The most frequently mentioned word among the total of 21,549 words from dental-related articles was ‘dentistry’ and articles about ‘hospital’, ‘medical’, ‘Corona’ and ‘patient’ occupied a large proportion. The top degree centrality words were ‘dentistry’, ‘medical’, ‘hospital’ and ‘region’ while the top betweenness centrality words were ‘dentistry’, ‘medical’, ‘region’, ‘hospital’,and ‘Corona’. Also, the top closeness centrality words were ‘dentistry’, ‘medical’, ‘hospital’, ‘region’,and ‘health’.
Conclusion: In the news articles during the first half of 2020 that were extracted by Big Kinds in response to the search query: ‘dentistry’, the most frequently mentioned word was ‘dentistry’, and articles on ‘hospital’, ‘medical’, ‘Corona’, and ‘patient’ accounted for a great proportion, thus showing that the overall confusion in society caused by COVID-19 is affected by the structural characteristics of COVID-19 outbreak areas especially in the dental field as well. Further studies on the changes of dental industry in Korea that were caused by COVID-19 pandemic in 2020 are expected.
키워드
dentistry; news articles; language network analysis; big data
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