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The Auto Tagging system is a model that automatically predict tags for a given a StackExchange question by using the text of the question in PyTorch.

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Developer-Prince/AutoTaggingSystem

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Auto Tagging System

The objective of project is to build a model to automatically predict tags for a given a StackExchange question by using the text of the question in PyTorch.

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Dataset Specs: Over 85,000 questions and over 1300 unique tags

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Steps To Follow

  1. Load Data and Import Libraries

  2. Dataset Preparation

    2.1 Merge Tags with Questions

    2.2 Filter Questions with respect to Top-10 Tags

  3. Text Preprocessing

    3.1 Text Cleaning

    3.2 Text Representation

  4. Model Building

    4.1 Model Architecture

    4.2 Model Training

  5. Model Evaluation

    5.1 Check Performance

    5.2 Show Inference

  6. Model Building for LSTM

  7. Model Evaluation for LSTM

Feedback

If you have any feedback, please reach out to us at dev.prince1897@gmail.com

Contributing

Contributions are always welcome!

Please adhere to this project.

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The Auto Tagging system is a model that automatically predict tags for a given a StackExchange question by using the text of the question in PyTorch.

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