Sentiment analysis made easy; built on top off solid libraries.
Sentimental uses Scikit-learn to perform easy sentiment analysis. The idea is to create a simple out-of-box solution that yields acceptable results without complex configuration. Sentimental also uses a simple format for its training corpora that makes it easy to add more training data.
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Release files for sentimental 2.2.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| sentimental-2.2.3.tar.gz | 35.8 kB | Without provenance | Details for sentimental-2.2.3.tar.gz |
Release files / sentimental-2.2.3.tar.gz
| Download URL | sentimental-2.2.3.tar.gz |
|---|---|
| Size | 35.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
ee6fc5547b37ef5e676006620d38b520a4a0c54638cb8f5ffc1bb4a9e7cdc9ff
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BLAKE2b-256 checksum How to use checksums |
4028e2f7aa975d86b5aa769d9ec710b5924e99f6c1781da048bc0c1382622cf6
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Uploaded using Trusted Publishing? What is trusted publishing? |
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Security for sentimental 2.2.3
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