Text_Labling_EN
Text_Labling_EN is a Python package for Auto labeling English text using the Bart model and then exporting visuals to a pptx file
Installation
pip install Text_Labling_EN
Usage
from Text_Labling_EN import *
Text_Labling=Text_Labling(r'path','col_name','NewCol','Lem' or 'stem' or 'None')
Text_Labling.cleanData()
Text_Labling.DoLabels([labels])
Text_Labling.doVis(number of top N want to visualize)
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
License
1 maintainer
Metadata
1 maintainer
Release files for Text-Labling-EN 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| text_labling_en-0.0.7.tar.gz | 4.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| text_labling_en-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.4 kB
Release files / text_labling_en-0.0.7.tar.gz
| Download URL | text_labling_en-0.0.7.tar.gz |
|---|---|
| Size | 4.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/4.0.1 CPython/3.7.8
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Release files / text_labling_en-0.0.7-py3-none-any.whl
| Download URL | text_labling_en-0.0.7-py3-none-any.whl |
|---|---|
| Size | 5.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.7.8
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