Exploration of using Twitter data to predict Swedish political opinion polls with neural networks
This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. The models are quite successful at predicting test data, achieving F1-scores in the range of 70 %