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How can I combine word2vec with tf-idf to have concatenated features?

I want to develop a focused crawler using deep reinforcement learning and a priority queue that will work as the crawler frontier. I reckon using x = (state, action)...
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119 views

How should the output layer of an LSTM be when the output are word embeddings?

I'm having trouble grasping how to output word embeddings from an LSTM model. I'm seeing many examples using a softmax activation function on the output, but for that I would need to output one hot ...
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Does it make sense to add word embeddings as additional features for LSTM model?

I have an LSTM model. This model takes as input tokens. Those tokens represent XML markups extracted from some XML files. My model is working fine. However, I want to optimize it by adding word ...