Brand-Related Twitter Sentiment Analysis Using Feature Engineering and the Dynamic Architecture for Artificial Neural Networks

@article{Zimbra2016BrandRelatedTS,
  title={Brand-Related Twitter Sentiment Analysis Using Feature Engineering and the Dynamic Architecture for Artificial Neural Networks},
  author={David Zimbra and Manoochehr Ghiassi and Sean Lee},
  journal={2016 49th Hawaii International Conference on System Sciences (HICSS)},
  year={2016},
  pages={1930-1938}
}
We present an approach to brand-related Twitter sentiment analysis using feature engineering and the Dynamic Architecture for Artificial Neural Networks (DAN2). The approach addresses challenges associated with the unique characteristics of the Twitter language, and the recall of mild sentiment expressions that are of interest to brand management… CONTINUE READING

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