Why word2vec performs much worst than both CountVectorizer and TfidfVectorizer? [Text classification]
My guess is that the dataset is very small. Word2Vec won't be able to capture word relationship in the embedding space with limited information. Try to train word2vec on a very large corpus to get a very good word vector before training your classifier might help.