Text Analysis on the Research Trend of ‘Resilience’ in Korea : Focus on Climate Change and Urban Disaster

2019 ◽  
Vol 10 (4) ◽  
pp. 401-414 ◽  
Author(s):  
Gil Sang Lee ◽  
Dae Yong Jin ◽  
Seul Ki Song ◽  
Hee Sun Choi
Keyword(s):  
Climate Change ◽  
Text Analysis ◽  
Research Trend ◽  
Urban Disaster

Machine Learning Applications for Anomaly Detection

2019 ◽  
pp. 49-83
Author(s):  
Teguh Wahyono ◽  
Yaya Heryadi
Keyword(s):  
Climate Change ◽  
Machine Learning ◽  
Anomaly Detection ◽  
Research Trend ◽  
Application Development ◽  
Detection Techniques ◽  
Airline Safety ◽  
Research Areas ◽  
Machine Learning Applications ◽  
Meta Approach

The aim of this chapter is to describe and analyze the application of machine learning for anomaly detection. The study regarding the anomaly detection is a very important thing. The various phenomena often occur related to the anomaly study, such as the occurrence of an extreme climate change, the intrusion detection for the network security, the fraud detection for e-banking, the diagnosis for engines fault, the spacecraft anomaly detection, the vessel track, and the airline safety. This chapter is an attempt to provide a structured and a broad overview of extensive research on anomaly detection techniques spanning multiple research areas and application domains. Quantitative analysis meta-approach is used to see the development of the research concerned with those matters. The learning is done on the method side, the techniques utilized, the application development, the technology utilized, and the research trend, which is developed.

scholarly journals National interests and coalition positions on climate change: A text-based analysis

2020 ◽  
pp. 019251212095353
Author(s):  
Paula Castro
Keyword(s):  
Climate Change ◽  
Developing Countries ◽  
Text Analysis ◽  
Bargaining Power ◽  
International Negotiations ◽  
National Interests ◽  
Policy Responses ◽  
Level I ◽  
Automatic Text Analysis ◽  
Automatic Text

Coalitions play a central role in the international negotiations under the United Nations Framework Convention on Climate Change. By getting together, countries join resources in defending their interests and positions. But building coalitions may come at a cost. Coalition positions are a result of compromise between their members, and thus the increase in bargaining power may come at a price if the preferences of their members are heterogeneous. Relying on automatic text analysis of written position papers submitted to the negotiations, I analyze the extent to which coalitions represent the preferences of their members and discuss whether this contributes to disproportionate policy responses at the international level. I focus on a recently formed coalition: the Like-Minded Developing Countries, a large and heterogeneous group that brings together emerging, oil-dependent and poor developing countries.

scholarly journals Study on Business Ecosystem Research Trend Using Network Text Analysis

2021 ◽  
Vol 13 (19) ◽  
pp. 10727
Author(s):  
Matthew Minsuk Shin ◽  
Seunghye Jung ◽  
Jin Sung Rha
Keyword(s):  
Text Analysis ◽  
Betweenness Centrality ◽  
Research Trend ◽  
Degree Centrality ◽  
Ecosystem Research ◽  
Business Ecosystem ◽  
Network Text Analysis ◽  
Bibliographic Data ◽  
Centrality Analysis ◽  
New Phase

The management environment is moving into a new phase with the changing global circumstances. The business ecosystem as a management strategy has been studied for the last 30 years since the concept was introduced. The purpose of this study was to analyze the research trend in business ecosystem by using network next analysis and to understand the concept, being one that is still being actively studied. Network text analysis is a commonly used method to analyze research trends by forming networks based on bibliographic data of the articles, namely, keywords. For the analysis, we collected the data and keywords from 340 research papers published in global academic journals related to business ecosystem on the basis of the Scopus database. Through keywords extraction and cleansing, we found that the keywords of “innovation”, “sustainability”, and “platform” were mentioned most frequently, and the research topics were correlated to each other. Moreover, we conducted degree centrality and betweenness centrality analysis along with clustering analysis by transforming the two-mode network into a one-mode network. Degree centrality involves analyzing the degree to which one keyword links to other keywords, and betweenness centrality shows the mediating effects of a keyword to other keywords. In the centrality analysis results, “innovation”, “sustainability”, “platform”, and “business model” showed the highest degree centrality, and “sustainability”, “innovation”, “China”, and “platform” had the highest betweenness centrality. Then, we classified the clusters of subtopics into five groups. The current study examined accumulated research and suggested a comprehensive understanding of the research trend in business ecosystem by incorporating a method enabling research trend analysis to secure objectivity. This research is expected to help researchers to review the research trend in business ecosystem and identify expandable topics for further studies.

scholarly journals Bill McKibben’s Influence on U.S. Climate Change Discourse: Shifting Field-Level Debates Through Radical Flank Effects

2017 ◽  
Vol 32 (3) ◽  
pp. 213-233 ◽  
Author(s):  
Todd Schifeling ◽  
Andrew J. Hoffman
Keyword(s):  
Climate Change ◽  
Text Analysis ◽  
Carbon Tax ◽  
The United States ◽  
Policy Ideas ◽  
Field Level ◽  
Network Text Analysis ◽  
The Social ◽  
Radical Flank ◽  
The U.S

This article examines the influence of radical flank actors in shifting field-level debates by increasing the legitimacy of preexisting but peripheral issues. Using network text analysis, we apply this conceptual model to the climate change debate in the United States and the efforts of Bill McKibben and 350.org to pressure major universities to “divest” their fossil fuel assets. What we find is that, as these new actors and issue entered the debate, liberal policy ideas (such as a carbon tax), which had previously been marginalized in the U.S. debate, gained increased attention and legitimacy while the divestment effort itself gained limited traction. This result expands theory on indirect pathways to institutional change through a discursive radical flank mechanism, and suggests that the actual influence of Bill McKibben on the U.S. climate debate goes beyond the precise number of schools that divest to include a shift in the social and political discourse.

scholarly journals Canadian environmental non-governmental organizations positions regarding nuclear power in Ontario

2021 ◽  
Author(s):  
Jay P. D. Wilson
Keyword(s):  
Climate Change ◽  
Text Analysis ◽  
Nuclear Power ◽  
Change Analysis ◽  
Emissions Reductions ◽  
Governmental Organizations ◽  
Climate Change Analysis ◽  
Non Governmental Organizations

The purpose of this study was to determine if Canadian ENGOs are less opposed to the use of nuclear power in Ontario since 2001 and to determine if any changes are due in part to a ~ broader response to concerns over climate change. Analysis included interviews of fifteen ENGO employees from fourteen Ontario-based Canadian ENGOs and text analysis of nine ENGOs. There is some evidence that some of the ENGOs studied have in fact softened their stance on nuclear power to become slightly less negatively disposed to the technology, but not more positively disposed. This analysis revealed evidence that two of the fourteen ENGOs may have become slightly more neutral in their references to nuclear power. However, only one of the two organizations shifted its stance due to the concerns over climate change and desire for CO. 2 emissions reductions .

Sign in / Sign up

Export Citation Format

Share Document