Twitter Sentiment Analysis Using Recurrent Neural Network

Being one of the largest social media platforms, Twitter has a diverse community collaborating on multitude ideas. With large amounts data being generated and collected every day, it is perfect platform to implement machine learning algorithms analyze information in different tweets. A recurrent Neural Network (RNN) specific algorithm that used solve problems involving sequential such as texts or time series. In this paper, we use RNNs classify given tweet either positive negative sentiment. The RNN model describe below was able reach an accuracy 76%.