Stability Verification Results for TF-IDF, Eigenvector Centrality, and Word2Vec Models

Multi-seed-based stability verification results for TF-IDF, eigenvector centrality, and Word2Vec models. The dataset is a 9.5 KB Excel file authored by Jin Gyeong Kim and published under a CC-BY-4.0 license on figshare. It was last updated on May 8, -2026.

Use Cases

• Compare model stability across multiple random seeds based on the multi-seed verification results.
• Assess the robustness of TF-IDF feature selection in text analysis based on the stability verification.
• Evaluate the consistency of eigenvector centrality rankings in network analysis based on the verification results.
• Benchmark Word2Vec embedding stability across different training runs based on the verification results.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 9.5 KB, indicating a compact and focused dataset.
• Specific publication date of 2026-05-08 is provided.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely contains computational results from stability verification experiments.

Time Range

Publication date is 2026-05 08.

Freshness

Last updated 2026-05-08 17:23:34; freshness should be verified.

Geography

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