multimodal-sentiment-classification Nikelroid · PARTIAL
A multimodal deep learning framework that fuses visual features from EfficientNet and textual features from BERT to classify sentiment in image-text conversations using the MSCTD dataset.
github.com/Nikelroid/multimodal-sentiment-classification · ★ 10 · Forks 2 · Size 12.8 MB
SUMMARY
Technologies 16
Scored 14
Observed 14
Practices 6
Evidence 18
Skips 2
COVERAGE
Analyzed 81 files · 228 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
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JSON LANGUAGE Depth 70
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TOML LANGUAGE Depth 70
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Markdown LANGUAGE Depth 70
2 files · PRODUCTION
YAML LANGUAGE Depth 70
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Python LANGUAGE Depth 70
39 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
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FastAPI FRAMEWORK Depth 58
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Jinja2 LIBRARY Depth —
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NumPy LIBRARY Depth 78
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Uvicorn LIBRARY Depth 58
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pandas LIBRARY Depth 66
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pytest TESTING Depth 62
2 files · PRODUCTION, TEST
python-dotenv LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2023-01-05
Last commit 2026-08-17
Active months 9
Commits 228