aditya00kumar/document-classification
This project is an attempt to provide a generic pipeline for document classification using different machine learning models.
This project helps you automatically sort and categorize documents based on their content. You provide a CSV file with documents and their desired categories, and it outputs a trained model that can predict the category of new, uncategorized documents. It's designed for anyone who needs to quickly classify large volumes of text, such as customer support teams, legal professionals, or content managers.
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Use this if you need to build and deploy a custom document classification system without extensive coding or machine learning expertise.
Not ideal if you have extremely large datasets that require very fast training on a free cloud service, as performance might be limited.
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Jupyter Notebook
License
MIT
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Last pushed
May 09, 2019
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