Metadata-Version: 2.1
Name: nlpaf
Version: 1.8.0
Summary: Implementation of different NLP tools.
Keywords: nlp,feature extraction,topic modeling
Author-email: Roxanne El Baff <roxanne.elbaff@gmail.com>
Description-Content-Type: text/markdown
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Requires-Dist: pandas
Requires-Dist: spacy_arguing_lexicon
Requires-Dist: numpy
Requires-Dist: nltk
Requires-Dist: gensim>=3.8.1
Requires-Dist: spacy
Requires-Dist: wordcloud
Requires-Dist: matplotlib
Requires-Dist: empath
Requires-Dist: pyLDAvis
Requires-Dist: scikit-learn
Requires-Dist: torchvision
Requires-Dist: pyarrow
Requires-Dist: simpletransformers
Requires-Dist: tqdm
Project-URL: Home, https://github.com/roxanneelbaff/nlp-annotation-framework

<h1 align="center">Welcome to the NLP Annotation Framework <code>(NlpAF)</code> </h1>

<p align="center">
  <a href="https://github.com/roxanneelbaff/nlp-annotation-framework/blob/master/LICENSE">
    <img alt="License: MIT" src="https://img.shields.io/badge/license-MIT-yellow.svg" target="_blank" />
  </a>
  <a href="https://img.shields.io/badge/Made%20with-Python-1f425f.svg">
    <img src="https://img.shields.io/badge/Made%20with-Python-1f425f.svg" alt="Badge: Made with Python"/>
  </a>
  <a href="https://pypi.org/project/nlpaf/"><img src="https://badge.fury.io/py/nlpaf.svg" alt="Badge: PyPI version" ></a>

  <a href="https://open.vscode.dev/roxanneelbaff/nlp-annotation-framework">
    <img alt="Badge: Open in VSCode" src="https://img.shields.io/static/v1?logo=visualstudiocode&label=&message=open%20in%20visual%20studio%20code&labelColor=2c2c32&color=007acc&logoColor=007acc" target="_blank" />
  </a>
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</p>

> `nlpaf` is a Python Library offering an architectural framework and tools to extract features from textual data.

____

## Installation

### Direct install via pip 

The package can also be installed directly via pip.
```
pip install nlpaf
```

### Manual cloning
Clone the repository, go to the root folder and then run:

```
pip install -e .
```
