Deep Learning for Natural Language Processing

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Contents III Data Preparation 34 IV BagofWords 61 V Word Embeddings 114 VI Text Classification 144 VII Language Modeling 189 VIII Image Captioning 244 IX Machine Translation 331 X Appendix 372 XI Conclusions 395 Copyright

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Common terms and phrases approach architecture array bag-of-words better BLEU score calculate called caption chapter characters classification clean close Complete example convert create dataset deep learning define descriptions develop discover document encode Encoder-Decoder Epoch evaluate example Example output Explore extract file.close filename filter function given import input input sequence integer encode Keras labels language model layer length Listing load load doc load_doc(filename look loss mapping max_length means methods movie review natural language processing negative Neural Machine Translation neural network open(filename output pairs performance pre-trained predict prepare prints probability problem provides punctuation Python reference remove representation Running the example sentence sentiment sequence skill specific split started statistical step summarize task text data tokens turn tutorial vector vocab vocab_size vocabulary word embedding Word2Vec

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