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deeplearning for sentence classification author:zhangluoyang email:[email protected] environment dependence python2.7 tensorflow0.12 jieba cPick numpy datasets: train.txt test.txt format example: label sentence 1 晋西车轴(600495)拟使用2亿元购买信托产品 word2vec pretrain bin file vector.bin word2vec.py: a util for word2vec model.py: neural network model datasets: normal data format for neural network I have already realized 5 methods, please see the code for detail infomation. how to run: python main.py --model single_random_model --train train --num_epoch 20 python main.py --model single_random_model --train test python main.py --model single_static_model --train train --num_epoch 20 python main.py --model single_static_model --train test python main.py --model single_truned_model --train train --num_epoch 20 python main.py --model single_truned_model --train test python main.py --model lstm_mean_model --train train --num_epoch 20 python main.py --model lstm_mean_model --train test python main.py --model bi_lstm_model --train train --num_epoch 20 python main.py --model bi_lstm_model --train test reference: 1 Kim Y. Convolutional neural networks for sentence classification[J]. arXiv preprint arXiv:1408.5882, 2014. 2 LSTM Networks for Sentiment Analysis http://deeplearning.net/tutorial/lstm.html 3 Word2vecSentimentRNN https://github.com/deeplearning4j/dl4j-examples/tree/master/dl4j-examples/src/main/java/org/deeplearning4j/examples/recurrent/word2vecsentiment
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