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.
Metadata
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 | |
|---|---|---|---|
| evomsa-2.0.14.tar.gz | 32.3 MB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| evomsa-2.0.14-cp312-cp312-win_amd64.whl | CPython 3.12 | CPython 3.12 | Windows x86-64 | Details |
| evomsa-2.0.14-cp311-cp311-win_amd64.whl | CPython 3.11 | CPython 3.11 | Windows x86-64 | Details |
| evomsa-2.0.14-cp310-cp310-win_amd64.whl | CPython 3.10 | CPython 3.10 | Windows x86-64 | Details |
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 |
|
SHA-256 checksum How to use checksums |
948955df920578c668d1c19cf7051f2034a1c968ced6275284d9082b8c6cd8c4
|
|
BLAKE2b-256 checksum How to use checksums |
d9b2bb4647921a4c4fb101557047e7be9a4f068d88bbd9196da7ef4eacb8566b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.19
|
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 |
1a0d4e6d0e6f09cdd5f4c9d9c19ab658cc1be8b7012635b74eecca17bae4fbc0
|
|
BLAKE2b-256 checksum How to use checksums |
12726731597e084a3bc21537ee7e89202d63b51008f3c20f72a803da62e58410
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.12
|
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 |
21c169f735b07dc508928114e6ddaf82a906f771d5986f500f3437926721f829
|
|
BLAKE2b-256 checksum How to use checksums |
3ddf8c23bfb2d52140605e139aaa3bb20e4281c312fb3883544d2ff2607f2cf9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
|
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 |
917cd027609ccc8d29fb3d99b27513dbe27da0a28324ebc6b342ce731a025bd4
|
|
BLAKE2b-256 checksum How to use checksums |
49768482f49c668639c15d56b8e48594841aa8eaa0e92467745474b66967fa5b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.19
|