I was going through this page to learn how to classify text using word embeddings and LSTM. The page talks about training the word embeddings within the LSTM architecture, but does not discuss if I want to import word embedding models trained externally such as those using Global Vectors and word2vec which already provide large-scale pre-trained word embeddings. Any ideas how I can use pre-trained word embeddings in the LSTM architecture?
MATLAB: Import pre-trained word embeddings (GloVe, Skipgram, etc.) in Deep Neural Network models.
deep neural networksdocument classific...Text Analytics Toolboxword embeddings
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