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Analyzes texts for compliance with the second Zipf's and Heaps law.

License: MIT License

Python 100.00%
zipf heaps law text analysis statistical-analysis statistics education

edu-texts-analyzer's Introduction

Texts Statistical Analysis

Analyzes texts for compliance with the Zipf's second law and Heaps' law.

Prerequisites

Having Python 3 installed, clone the project and install its dependencies:

git clone [email protected]:ZitRos/edu-texts-analyzer.git
cd edu-texts-analyzer
pip3 install -r requirements.txt

Texts for analysis are taken from texts directory. Every file in this directory and its subdirectories will be treated as a text file. There are already some articles, but you may place your own.

Zipf's Law

Having Python 3 installed, install dependencies and run the program:

py index.py

It will generate Zipf.xlsx file with word ranks/frequencies data.

Zipf's Law

Heaps' Law

Output will go to Heaps.xlsx file.

Heaps Law

edu-texts-analyzer's People

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