https://github.com/ahmedheakl/text-classificaition-for-stackoverflow-comments

This a code for an architecture of a Deep Neural Network for text classification. I used a dataset from stackoverflow, which classifies the comments of the user into 4 categories according to the programming language the comment is about. I used an TextVectorization, full-connected, Embedding and Global Pooling to build the model. Within 20 epochs, i got 80% on the validation and test datasets.
https://github.com/ahmedheakl/text-classificaition-for-stackoverflow-comments

deep-learning neural-network

Last synced: about 2 months ago
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This a code for an architecture of a Deep Neural Network for text classification. I used a dataset from stackoverflow, which classifies the comments of the user into 4 categories according to the programming language the comment is about. I used an TextVectorization, full-connected, Embedding and Global Pooling to build the model. Within 20 epochs, i got 80% on the validation and test datasets.

• Host: GitHub
• URL: https://github.com/ahmedheakl/text-classificaition-for-stackoverflow-comments
• Owner: ahmedheakl
• Created: 2020-10-20T03:10:03.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2020-10-20T03:17:24.000Z (about 4 years ago)
• Last Synced: 2023-03-10T12:49:19.578Z (almost 2 years ago)
• Topics: deep-learning, neural-network
• Language: Jupyter Notebook
• Homepage:
• Size: 3.43 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0

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