Metadata-Version: 2.1
Name: eazynlp
Version: 0.0.2
Summary: NLP made easy for researchers
Home-page: https://github.com/tumeri/eazynlp
Author: Info CodeBrew
Author-email: info.codebrew@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown

# eazynlp
NLP made easy for researchers

## What is it?

**eazynlp** is a Python package aimed at qualitative researchers, especially in the social sciences, that wish to take advantage of natural language processing to complement traditional qualitative research methods. 
In particular, **eazynlp** is unique in that commonly used entities of qualitative research, such as interview transcripts, are treated as first-class objects.
This gives the researcher the opportunity to directly express NLP procedures in the analysis of such entities.

## Main Features:
  - Construction of data pipelines
  - Feature engineering
  - Cluster analysis, e.g., topic modeling
  - Visualization

## Where to get it
The latest released version is available at the [Python
Package Index (PyPI)](https://pypi.org/project/eazynlp).

```sh
pip install eazynlp
```

## Dependencies
  - [matplotlib](https://matplotlib.org/)
  - [nltk](https://www.nltk.org/)
  - [pandas](https://pandas.pydata.org/)
  - [wordcloud](https://amueller.github.io/word_cloud/)

## License
[GNU GENERAL PUBLIC LICENSE, Version 3](LICENSE)

