jiegzhan/multi-class-text-classification-cnn-rnn
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
Implements parallel CNN and RNN architectures with shared word embeddings for comparative performance analysis on crime description classification. The modular pipeline supports training via JSON configuration files and batch prediction on new datasets, with both LSTM and GRU variants enabling experimentation with sequential vs. convolutional feature extraction approaches in TensorFlow.
601 stars. No commits in the last 6 months.
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601
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Language
Python
License
Apache-2.0
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Last pushed
Mar 23, 2018
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