2019
DOI: 10.31336/jtlr.2019.4.31.4.143
|View full text |Cite
|
Sign up to set email alerts
|

The Topic Modeling Analysis of The DMZ Tour Issues Using Text Mining

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 0 publications
0
1
0
Order By: Relevance
“…Topics are depicted as circles, where larger circles indicate a higher prevalence. Closer distances between topics indicate a higher relevance, while greater distances imply a lower relevance [27]. The analysis of the IDM revealed that there was no overlapping area between topics, and the distribution of data for each topic was appropriately balanced: Topic 1-48 incidents, topic 2-31 incidents, topic 3-29 incidents, topic 4-41 incidents, topic 5-41 incidents.…”
Section: Topic Modeling and Network Analysis For The Most Critical Causementioning
confidence: 99%
“…Topics are depicted as circles, where larger circles indicate a higher prevalence. Closer distances between topics indicate a higher relevance, while greater distances imply a lower relevance [27]. The analysis of the IDM revealed that there was no overlapping area between topics, and the distribution of data for each topic was appropriately balanced: Topic 1-48 incidents, topic 2-31 incidents, topic 3-29 incidents, topic 4-41 incidents, topic 5-41 incidents.…”
Section: Topic Modeling and Network Analysis For The Most Critical Causementioning
confidence: 99%