I am a beginner in Tensorflow. I am working on a dataset for sentiment analysis. I have used two kinds of methods one is LSTM and the other is LSTM with pre-trained word embeddings like (GloVe & Fast Text). I can see there is a difference of accuracy. But can anyone explain what are the advantages of working with pre-trained word embeddings with LSTM over just LSTM.



Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.