Deep Learning Model Performance for Aspect Term and Polarity Detection

A 5.5 KB Excel file containing performance analysis results for deep learning models on the tasks of aspect term extraction and polarity detection. The dataset was authored by Gunjan Ansari and last updated on April 9, 2026.

Use Cases

• Benchmarking deep learning models for aspect term extraction based on the described performance analysis.
• Comparing model accuracy for sentiment polarity detection based on the described performance analysis.
• Analyzing trade-offs between different model architectures for the combined tasks of extraction and classification.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 5.5 KB, indicating a compact and focused dataset.
• Update date is explicitly provided as 2026-04-09.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), indicating limited scope.

Provenance

Source

Gunjan Ansari via figshare

Collection Method

Likely contains compiled results from model performance experiments.

Time Range

Analysis likely reflects experiments conducted prior to the 2026 update.

Freshness

Last updated 2026-04-09 17:35:12; freshness should be verified.

Geography

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