Fig 1.
Workflow of the dark web keyword crawler for crime data collection.
Table 1.
Top 20 keywords extracted using TF-IDF.
Table 2.
Top 20 keywords extracted using eigenvector centrality.
Table 3.
Top 20 keywords extracted using Word2Vec.
Fig 2.
Categorization of the top 20 keywords extracted using individual text mining techniques by crime-related category.
Table 4.
Validation accuracy based on keywords extracted from individual models.
Table 5.
Top 20 keyword pairs extracted from combined models using eigenvector centrality and TF-IDF.
Table 6.
Top 20 keyword pairs extracted from combined models using eigenvector centrality and Word2Vec.
Fig 3.
Categorization of the top 20 keywords extracted using combined text mining models by crime-related category.
Table 7.
Validation accuracy based on keyword pairs extracted from combined models.
Table 8.
Multi-seed-based stability verification results for TF-IDF, eigenvector centrality, and Word2Vec models.