Metadata-Version: 2.1
Name: faKy
Version: 1.3.0
Summary: Your library description
Author: Sandro Barres Hamers
Author-email: sbarreshamers@gmail.com
Description-Content-Type: text/markdown
Provides-Extra: vader

# faKy

This library provides functionality for analyzing text using various techniques and models. It includes functions for calculating readability scores, sentiment analysis using VADER, counting named entities, analyzing part-of-speech tags, and more.

## Installation

To use this library, you need to have the following dependencies installed:

- pandas
- numpy
- sys
- gzip
- spacy
- spacy-readability
- nltk
- vaderSentiment

You can install the required dependencies using pip:

