text-classification-cnn-rnn and Chinese-Text-Classification
These are **competitors** — both implement CNN-based Chinese text classification using TensorFlow with similar core architectures, so users would typically choose one implementation over the other rather than use them together.
About text-classification-cnn-rnn
gaussic/text-classification-cnn-rnn
CNN-RNN中文文本分类，基于TensorFlow
Implements character-level CNN and RNN architectures using TensorFlow 1.3+ with Conv1D operations and multi-layer GRU/LSTM cells for sequence modeling. Provides complete preprocessing pipeline including vocabulary building, fixed-length sequence padding (600 characters), and batch iteration with shuffling for the THUCNews dataset (10 categories, 65K training samples). Achieves 96%+ test accuracy on Chinese news classification with detailed evaluation metrics including per-category precision/recall and confusion matrices.
About Chinese-Text-Classification
fendouai/Chinese-Text-Classification
Chinese-Text-Classification，Tensorflow CNN（卷积神经网络）实现的中文文本分类。QQ群：522785813，微信群二维码：http://www.tensorflownews.com/
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