Dear all, I have been following some 800 Twitter accounts for my Ph.D. dissertation over the last four months. I have ended up with 400.000 tweets that I need to categorize by four mutually exclusive categories. I looked up some previous works with similar tasks, and it seems that the best way is to use a combination of word embeddings and recurrent neural networks with LSTM structure. The problem I am having right now is that I couldn't find training data for the classification. Can anyone recommend me some literature on sampling strategies for short-text classification tasks? Best, Sina Özdemir Ph.D. Candidate NTNU, Trondheim M.A Comparative and International Studies ETH Zurich & University of Zurich, Switzerland B.A. Political Science and International Relations Middle East Technical University, Turkey