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Text Mining

Welcome to the Text Mining project repository! This repository contains the code, resources, and documentation for our coursework on text mining concepts and applications.

Overview

This repository serves as a collaborative workspace for the members of our group to develop, implement, and test various text mining models and techniques as part of the Text Mining course.

Contents

  • Notebooks/Code: Python scripts and Jupyter notebooks implementing text mining models and experiments.
  • Reports: Documentation and insights from our experiments and findings.

Installation

Prerequisites

  • Python 3.8 or higher
  • TensorFlow / PyTorch
  • Additional libraries: NumPy, Pandas, Matplotlib

Setup

  1. Clone the repository:
    git clone https://github.com/mohammadshughri/Text-Mining.git
  2. Navigate to the repository folder:
    cd text-mining

Dataset

The dataset used in this project is downloaded automatically when the code is executed in the notebooks. No manual dataset download is required.

How to Use

Navigate to the notebooks folder to find individual project tasks and exercises. Follow the instructions in the notebooks to run the experiments. The required dataset will be downloaded automatically. Refer to the reports folder for detailed analysis and results.

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