PREPROCESSING METHODS DOCUMENTATION
Developing a library to help with preprocessing text
Install
pip install nbpreprocessor
How to use
#Example for the function tokenize_sentence
tokenize_sentence("This sentence will be tokenized into words")
['This', 'sentence', 'will', 'be', 'tokenized', 'into', 'words']
#Example for the function capitalize_every_word
capitalize_every_word("Every word should begin with an uppercase")
'Every Word Should Begin With An Uppercase'
Release files for nbpreprocessor 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nbpreprocessor-0.0.1.tar.gz | 9.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nbpreprocessor-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.1 kB
Release files / nbpreprocessor-0.0.1.tar.gz
| Download URL | nbpreprocessor-0.0.1.tar.gz |
|---|---|
| Size | 9.0 kB |
| Tags | Source |
|
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Release files / nbpreprocessor-0.0.1-py3-none-any.whl
| Download URL | nbpreprocessor-0.0.1-py3-none-any.whl |
|---|---|
| Size | 7.1 kB |
| Tags | Python 3 |
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twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.56.1 CPython/3.8.5
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