Your library description

Project description

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:

Project details

Release history Release notifications | RSS feed

2.1.0

Jun 8, 2023

2.0.1

Jun 6, 2023

2.0.0

Jun 6, 2023

1.4.0

Jun 6, 2023

1.3.3

Jun 6, 2023

1.3.2

Jun 6, 2023

1.3.1

Jun 6, 2023

1.3.0

Jun 6, 2023

1.2.3

Jun 6, 2023

This version

1.2.1

Jun 6, 2023

1.2.0

Jun 6, 2023

1.0.0

Jun 6, 2023

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Source Distribution

faKy-1.2.1.tar.gz (4.2 kB view hashes)

Uploaded Jun 6, 2023 Source

Built Distribution

faKy-1.2.1-py3-none-any.whl (4.3 kB view hashes)

Uploaded Jun 6, 2023 Python 3

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Hashes for faKy-1.2.1-py3-none-any.whl

Hashes for faKy-1.2.1-py3-none-any.whl
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