Actionable and Political Text Classification using Word Embeddings and LSTM
Table 2: Traditional vs LSTM Model Performance
['[BOLD] Language', '[BOLD] Traditional Model Accuracy', '[BOLD] LSTM Model Accuracy']
Further the improvement is significantly large with the LSTM model, the largest improvement being 15% for Italian (it). This clearly demonstrates the superiority of neural networks when it comes to the text classification problems such as actionability.