An Exploration of the Potential of Machine Learning Tools for Media Analysis to Support Sense-Making Processes in Foresight
M Vignoli, J Rörden, D Wasserbacher… - Frontiers in …, 2022 - frontiersin.org
In view of the many discussions about uncertainty regarding the further development of the
coronavirus disease 2019 (COVID-19) pandemic and its effects on the economy and society …
coronavirus disease 2019 (COVID-19) pandemic and its effects on the economy and society …
A data mining method for biomedical literature based on association rules algorithm
X Shi, Y Zhao, H Du - International Journal of Data Mining …, 2024 - inderscienceonline.com
There are problems in the process of biomedical literature data mining, such as high data
noise, low mining accuracy, and long-time consumption. Therefore, a biomedical literature …
noise, low mining accuracy, and long-time consumption. Therefore, a biomedical literature …
A Cross-Cultural Analysis of COVID-19 Coverage in American, German and Japanese Daily Newspapers: Actors, Topics, and Values
Y Sato, S Brückner - Information Modelling and Knowledge …, 2024 - ebooks.iospress.nl
Throughout the COVID-19 pandemic, the news media played a crucial role in disseminating
information to the public and influencing public opinion, such as governmental responses to …
information to the public and influencing public opinion, such as governmental responses to …
C2C 거래의소비자문제유형연구: 텍스트마이닝기법을중심으로
최소영， 이욱， 황혜선 - 소비문화연구, 2022 - dbpia.co.kr
본 연구는 C2C 거래에서 나타나는 소비자 문제 유형을 분석하고 현재의 법제도적인 한계점을
함께 고찰하여 시장에서 해결이 필요한 소비자의 문제를 규명하고자 하였다. 또한, 본 …
함께 고찰하여 시장에서 해결이 필요한 소비자의 문제를 규명하고자 하였다. 또한, 본 …