wordsList = np.load('training_data/wordsList.npy')
wordsList = wordsList.tolist() #Originally loaded as numpy array
wordsList = [word.decode('UTF-8') for word in wordsList] #Encode words as UTF-8
wordVectors = np.load('training_data/wordVectors.npy')
wordsList = np.load('training_data/wordsList.np
阅读背景：
如何在张量流中使用python3预测LSTM模型中的情绪？
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