Actionable and Political Text Classification using Word Embeddings and LSTM
Table 3: Non-Actionable vs Actionable Classification Examples
['[BOLD] Message', '[BOLD] Prediction Score', '[BOLD] Classification']
A useful side effect of the predictions made with the model, is that along with the final classification, the prediction score for a given message is indicative of how strongly actionable a message may be. We find that messages that simply convey some news are classified as the least actionable, and the ones which state an explicit issue with a call to action are classified as highly actionable. Broad complaints or general questions are classified as non-actionable, or weakly actionable, which is a highly desired aspect when sifting through such messages.