chachamatcha / dl_text_classification Goto Github PK

Collection of Deep Learning Text Classification Models in Keras; Includes a GPU tutorial.

License: MIT License

Jupyter Notebook 99.31% Python 0.69%

benchmark benchmarks deep-learning deep-learning-tutorial deep-neural-networks gpu kaggle kaggle-competition keras keras-tutorials natural-language-processing nlp python tensorflow-gpu text text-classification text-processing toxic-comment-classification tutorial

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dl_text_classification's Issues

Docstrings in models/utils.py

Links in tutorial need to resolve

Question on why word embedding limited to training/test set vocabulary

Hi John
Thanks for your sharing. I have a question on word embedding. Correct me if I am wrong: noticed the word embedding created here only contains words in the training/test set. I would think a word embedding including all vocab in GloVE file will be better? For example, if in production, we encounter a new word than in training/test set, but it is part of the GloVE vocab, in this case, we can capture the meaning of the production words although we don't see it in training/test set. I think this will benefit sentiment classification problems with smaller training set?
Thanks!
Regards
Xiaohong

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