process-text
A simple and lightweight text preprocessing toolkit for NLP pipelines.
Features
- Lowercasing
- Punctuation removal
- Tokenization
- Stopword removal
- Stemming
- Lemmatization with POS tagging
- Emoji removal
- Special character filtering
- Misspelling correction using TextBlob
- Compose multiple transformations into a pipeline
Installation
pip install process-text
1 maintainer
Metadata
1 maintainer
Release files for akoang-library 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| akoang_library-0.1.0.tar.gz | 2.9 kB | Without provenance | Details for akoang_library-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| akoang_library-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for akoang_library-0.1.0-py3-none-any.whl |
Total release size: 6.1 kB
Release files / akoang_library-0.1.0.tar.gz
| Download URL | akoang_library-0.1.0.tar.gz |
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| Size | 2.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / akoang_library-0.1.0-py3-none-any.whl
| Download URL | akoang_library-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.9.21
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