Best tool for text representation to deep learning

Question

so I wanna ask you which is the best tool used to prepare my text to deep learning?

What is the difference between Word2Vec, Glove, Keras, LSA...

Answer 1

You should use a pre-trained embedding to represent the sentence into a vector or a matrix. There are a lot of sources where you can find pre-trained embeddings that use different dataset (for instance all the Wikipedia) to train their models. These models can have different length, but normally each word is represented with 100 or 300 dimensions.

Pre-trained embeddings Pre-trained embeddings 2