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Title: textCNN Download
 Description: Textcnn is used for text sentiment analysis. Through the establishment of CNN neural network, the text information is predicted and classified.
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文件名大小更新时间
zh_cnn_text_classify-master 0  2017-06-15

zh_cnn_text_classify-master\.gitignore 14  2017-06-15

zh_cnn_text_classify-master\README.md 1917  2017-06-15

zh_cnn_text_classify-master\data 0  2017-06-15

zh_cnn_text_classify-master\data\ham_100.utf8 59489  2017-06-15

zh_cnn_text_classify-master\data\spam_100.utf8 44997  2017-06-15

zh_cnn_text_classify-master\data_helpers.py 4504  2017-06-15

zh_cnn_text_classify-master\eval.py 4870  2017-06-15

zh_cnn_text_classify-master\runs 0  2017-06-15

zh_cnn_text_classify-master\runs\1492954581 0  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\checkpoints 0  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\checkpoints\checkpoint 697  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\checkpoints\model-200.data-00000-of-00001 2373156  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\checkpoints\model-200.index 1009  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\checkpoints\model-200.meta 102143  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\checkpoints\model-300.data-00000-of-00001 2373156  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\checkpoints\model-300.index 1009  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\checkpoints\model-300.meta 102143  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\checkpoints\model-400.data-00000-of-00001 2373156  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\checkpoints\model-400.index 1009  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\checkpoints\model-400.meta 102143  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\checkpoints\model-500.data-00000-of-00001 2373156  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\checkpoints\model-500.index 1009  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\checkpoints\model-500.meta 102143  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\checkpoints\model-600.data-00000-of-00001 2373156  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\checkpoints\model-600.index 1009  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\checkpoints\model-600.meta 102143  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\prediction.csv 46336  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\summaries 0  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\summaries\dev 0  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\summaries\dev\events.out.tfevents.1492954586.escenter11PC 159244  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\summaries\train 0  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\summaries\train\events.out.tfevents.1492954586.escenter11PC 15557682  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\trained_word2vec.model 865448  2017-06-15

zh_cnn_text_classify-master\runs\1492954581\training_params.pickle 59  2017-06-15

zh_cnn_text_classify-master\text_cnn.py 3414  2017-06-15

zh_cnn_text_classify-master\train.py 8870  2017-06-15

zh_cnn_text_classify-master\word2vec_helpers.py 2574  2017-06-15

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