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This repository contains a project for text classification using spaCy and a synthetic dataset related to social services. The steps outlined below will guide you through setting up your environment, downloading the necessary data, and running the project.

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Text Classification with spaCy and Synthetic Data

This repository contains a project for text classification using spaCy and a synthetic dataset related to social services. The steps outlined below will guide you through setting up your environment, downloading the necessary data, and running the project.

Prerequisites

Before you begin, ensure you have the following installed:

  • Python 3.7 or higher
  • pip (Python package manager)

Setup Instructions

Follow these steps to set up the project:

1. Install Required Python Packages

First, install the required Python packages by running:

pip install -r requirements.txt

2. Run the Jupyter Notebook

Open the Jupyter Notebook included in this repository and follow the steps outlined there to train and evaluate the text classification model.

License

This project is licensed under the MIT License.

Acknowledgments

  • spaCy for providing the NLP framework.

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This repository contains a project for text classification using spaCy and a synthetic dataset related to social services. The steps outlined below will guide you through setting up your environment, downloading the necessary data, and running the project.

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