A comparative analysis of crime fiction and crime nonfiction using topic modeling

2018 ◽  
Vol 22 (3) ◽  
pp. 109-134
Author(s):  
JIHYO KIM ◽  
Eon-Suk Ko
Keyword(s):  
Comparative Analysis ◽  
Topic Modeling ◽  
Crime Fiction

scholarly journals Probabilistic Topic Modeling for Comparative Analysis of Document Collections

2020 ◽  
Vol 14 (2) ◽  
pp. 1-27
Author(s):  
Ting Hua ◽  
Chang-Tien Lu ◽  
Jaegul Choo ◽  
Chandan K. Reddy
Keyword(s):  
Comparative Analysis ◽  
Topic Modeling ◽  
Document Collections ◽  
Probabilistic Topic Modeling

scholarly journals A Comparative Analysis of Disaster Research Trends Using Topic Modeling and Network Analysis

2021 ◽  
Vol 21 (5) ◽  
pp. 79-88
Author(s):  
Chae Yeon Han ◽  
Woo Sik Kim ◽  
Dong Keun Yoon
Keyword(s):  
Comparative Analysis ◽  
Risk Perception ◽  
Topic Modeling ◽  
Community Resilience ◽  
Research Trends ◽  
The Other ◽  
Disaster Research ◽  
Engineering Research ◽  
The Past ◽  
And Behavior

This study aims to analyze differences in domestic and international disaster research trends. We first performed topic modeling on 20,477 papers published in three domestic and 12 international journals over the last 21 years (2000-2020) and then visualized the trends. Based on the extracted topics and keywords, we analyzed keyword networks using Gephi. Research in domestic journals mainly revolved around natural disasters like earthquakes, fire, and flooding. In contrast, international journals spotlighted policy-based topics such as disaster governance and community resilience. Meanwhile, globally, building and civil engineering research has shrunk in recent five years (we refer to this as a cold topic). On the other hand, in the past five years, fire and flood research has appeared more frequently in domestic journals, while international journals have presented more articles on community resilience, risk perception, and behavior (we refer to this as a hot topic). Results of this research can provide suggestions about the directions domestic disaster research should develop in the future.

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