[smithmayowa]

FastText is state of the art when it comes to word embedding due to its ability to generate embedding for even words it has not seen, so perhaps your problem lies in your model's architecture, are you using convolution neural nets or just basic feed forward networks I have had great success using CNN for text classification, and in your words pre-processing are you filtering out stopwords(very common words in English that throw confusion to a models ability to correctly classify text's).