RaffaeleGalliera/pytorch-cnn-text-classification

Convolutional Neural Network (CNN) for text classification implemented with PyTorch and TorchText

27
/ 100
Experimental

This project helps classify documents into predefined categories by analyzing their text content. You provide a collection of text documents, organized by category, and it learns to automatically assign new, uncategorized documents to the correct labels. This is ideal for researchers, content managers, or anyone needing to sort textual data efficiently.

No commits in the last 6 months.

Use this if you need to automatically categorize text documents, such as academic papers, support tickets, or product reviews, into specific topics or themes.

Not ideal if you're looking for an out-of-the-box solution without any programming or machine learning setup, as it requires some technical configuration.

text-categorization document-management content-tagging information-retrieval academic-research
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 14 / 25

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Language

Python

License

Last pushed

Mar 20, 2020

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