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Stack_Overflow_tags_suggestion

Overview

Stack Overflow Tags Suggestion is a machine learning project that uses Natural Language Processing (NLP) techniques to suggest relevant tags for Stack Overflow questions. It aims to help users accurately tag their questions, improving visibility and engagement within the Stack Overflow community.

Features

  • Utilizes a pre-trained NLP model to analyze question text and suggest relevant tags.
  • Provides a user-friendly web interface for easy tag suggestions.
  • Built with Python, Flask, and various data science libraries.

Getting Started

To get started with the Stack Overflow Tags Suggestion project, follow these steps:

  1. Clone this repository to your local machine.
  2. Install the required dependencies listed in the requirements.txt file.
  3. Run the Flask app using the command python app.py.

Contributing

Contributions are welcome! If you'd like to contribute to this project, please open an issue to discuss the changes or submit a pull request.

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