Political opinion/sentiment prediction via long short term memory recurrent neural networks on Twitter
Değer Ayata, Murat Saraçlar, Arzucan Özgür · 2017
This paper addresses the task of political orientation prediction and assigning a person to one of `democrat' or `republican' classes based on Twitter data that is produced by republicans and democrat voters. We have used Long Short Term Memory Recurrent Neural Networks and Support Vector Machine, algorithms to model the classification process. Long Short Term Memory Recurrent Neural Networks performed better and we have achieved 77.92% accuracy rate.