https://github.com/sadiqkassamali/qurananalysis

Quran-Analysis
https://github.com/sadiqkassamali/qurananalysis

ai machinelearning mi nlp python quran

Last synced: 19 days ago
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Quran-Analysis

• Host: GitHub
• URL: https://github.com/sadiqkassamali/qurananalysis
• Owner: sadiqkassamali
• License: apache-2.0
• Created: 2020-11-19T19:39:42.000Z (about 4 years ago)
• Default Branch: develop
• Last Pushed: 2024-11-09T06:23:54.000Z (about 2 months ago)
• Last Synced: 2024-11-09T06:24:47.140Z (about 2 months ago)
• Topics: ai, machinelearning, mi, nlp, python, quran
• Language: Python
• Homepage:
• Size: 14.4 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Quran-Analysis

Quran analysis with some ML

Not sure where it will go and what will i learn from this

#Fork of quran-nlp (non arabic model and training)

https://github.com/aelbuni/quran-nlp/blob/master/README.md

> at this point there aren't any thing common, still get inspiration from above 

Quran-Analysis is an opensource project that aims to provide a boilerplate to help researchers to mine for knowledge from the Quran in english

# Usage example

# Quran and Bible Text Analysis Application

This application analyzes and compares the textual data of the Quran and Bible for contradictions, based on a given word of interest. It provides visualizations such as word clouds, word hierarchies, t-SNE, PCA, and KMeans clustering, all within a graphical user interface (GUI) built with `customtkinter`.

## Features

- **Contradiction Detection**: Analyze and detect contradictions between the Quran and Bible based on the provided word of interest.

- **Word Cloud Visualization**: Generate and display word clouds for both the Quran and Bible for the given word.

- **Word Hierarchy Visualization**: Show the hierarchy of related words for the Quran and Bible.

- **Dimensionality Reduction**:

    - **t-SNE**: Visualize the Word2Vec embeddings using t-SNE.

    - **PCA**: Visualize the Word2Vec embeddings using PCA.

- **Clustering**: Perform KMeans clustering on the Word2Vec embeddings and visualize the clusters.

- **User-friendly GUI**: Built with `customtkinter` with an easy-to-use interface to enter the word of interest and choose visualizations.

## Requirements

Ensure you have the following Python libraries installed:

```bash

pip install customtkinter pandas matplotlib seaborn wordcloud scikit-learn plotly