mukesh-mehta/VDCNN
Implementation of Very Deep Convolutional Neural Network paper
This helps classify text into categories, such as identifying 'toxic' comments, by automatically analyzing the content of written messages. You input raw text, like social media posts or customer reviews, and it outputs labels indicating the nature of the text. This is designed for content moderators, social media managers, or customer support teams who need to automatically filter or categorize large volumes of text.
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Use this if you need to automatically categorize short to medium length text segments, like comments, tweets, or short product descriptions, into predefined categories with high accuracy.
Not ideal if you are working with very long documents, need to understand complex semantic relationships, or require detailed explanations for classification decisions rather than just a label.
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Jupyter Notebook
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Last pushed
Nov 14, 2018
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