yuhsinliu1993/VDCNN
Using keras to implement VDCNN model
This project helps data scientists and machine learning practitioners categorize text documents more accurately. It takes raw text inputs, such as customer reviews, news articles, or social media posts, and efficiently outputs precise classifications. Anyone needing to automatically sort and understand large volumes of text will find this useful.
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Use this if you need a robust and deep learning-based method to automatically classify text into predefined categories with high performance.
Not ideal if you have very small datasets or require explainability for why a specific classification was made, as deep learning models can be opaque.
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22
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Language
Python
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Last pushed
May 24, 2017
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