Reuters News
Natural Language Processing to detect sentences are positive or negative
Install
pip install NLP-python
Usage
- Initializing
from NLP import NLP
nlp = NLP()
- Traning Input a list of sentences, it will create a model file
nlp.training(list)
- Get model file
nlp.getModel()
- Match your sentence(list) to model, it will return a score
nlp.match(sentence)
Metadata
Release files for NLP-python 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| NLP-python-1.1.0.tar.gz | 1.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| NLP_python-1.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.8 kB
Release files / NLP-python-1.1.0.tar.gz
| Download URL | NLP-python-1.1.0.tar.gz |
|---|---|
| Size | 1.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/1.12.1 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.0
|
Release files / NLP_python-1.1.0-py3-none-any.whl
| Download URL | NLP_python-1.1.0-py3-none-any.whl |
|---|---|
| Size | 3.0 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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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.0
|