Shypd.aiThe largest open index of AI toolsmulti-class-text-classification-cnn-rnn is an Open Source AI tool that classifies text descriptions into 39 categories. It uses CNN, RNN (GRU and LSTM), and Word Embeddings on Tensorflow for multi-class text classification.
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multi-class-text-classification-cnn-rnn is an open-source project designed for multi-class text classification, specifically demonstrated by classifying Kaggle San Francisco Crime Descriptions into 39 distinct categories. The model leverages a combination of Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) including GRU and LSTM units, and Word Embeddings, all built on the Tensorflow framework. This project provides a practical example and codebase for implementing advanced deep learning techniques for text classification tasks, offering a robust solution for categorizing textual data with high granularity.
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