Character Level Embeddings
For the sake of completeness, fastText uses sub-word information (character level n-grams) when creating embeddings and then for classification with some interesting results:


can give prediction for the unknown words that have some similarity with known ones
with interesting results for modelling syntactic relations like 'went' - 'go' + 'give' = 'gave'