EvoMSA is a Sentiment Analysis System based on B4MSA and EvoDAG. EvoMSA is a stack generalisation algorithm specialised on text classification problems. It works by combining the output of different text models to produce the final prediction.
The documentation is on readthedocs.
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Metadata
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Release files for EvoMSA 2.0.14
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| evomsa-2.0.14.tar.gz | 32.3 MB | Without provenance | Details for evomsa-2.0.14.tar.gz |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| evomsa-2.0.14-cp312-cp312-win_amd64.whl | CPython 3.12 | CPython 3.12 | Windows x86-64 | Details for evomsa-2.0.14-cp312-cp312-win_amd64.whl |
| evomsa-2.0.14-cp311-cp311-win_amd64.whl | CPython 3.11 | CPython 3.11 | Windows x86-64 | Details for evomsa-2.0.14-cp311-cp311-win_amd64.whl |
| evomsa-2.0.14-cp310-cp310-win_amd64.whl | CPython 3.10 | CPython 3.10 | Windows x86-64 | Details for evomsa-2.0.14-cp310-cp310-win_amd64.whl |
Total release size: 129.2 MB
Release files / evomsa-2.0.14.tar.gz
| Download URL | evomsa-2.0.14.tar.gz |
|---|---|
| Size | 32.3 MB |
| Tags | Source |
|
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No |
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twine/6.2.0 CPython/3.10.19
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Release files / evomsa-2.0.14-cp312-cp312-win_amd64.whl
| Download URL | evomsa-2.0.14-cp312-cp312-win_amd64.whl |
|---|---|
| Size | 32.3 MB |
| Tags | CPython 3.12 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/6.2.0 CPython/3.12.12
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Release files / evomsa-2.0.14-cp311-cp311-win_amd64.whl
| Download URL | evomsa-2.0.14-cp311-cp311-win_amd64.whl |
|---|---|
| Size | 32.3 MB |
| Tags | CPython 3.11 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.11.14
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Release files / evomsa-2.0.14-cp310-cp310-win_amd64.whl
| Download URL | evomsa-2.0.14-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 32.3 MB |
| Tags | CPython 3.10 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.19
|
Security for EvoMSA 2.0.14
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