@InProceedings{kopev-EtAl:2018:S18-1,
  author    = {Kopev, Daniel  and  Atanasov, Atanas  and  Zlatkova, Dimitrina  and  Hardalov, Momchil  and  Koychev, Ivan  and  Nikolova, Ivelina  and  Angelova, Galia},
  title     = {Tweety at SemEval-2018 Task 2: Predicting Emojis using Hierarchical Attention Neural Networks and Support Vector Machine},
  booktitle = {Proceedings of The 12th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {497--501},
  abstract  = {We present the system built for SemEval-2018 Task 2 on Emoji Prediction. Although Twitter messages are very short we managed to design a wide variety of features: textual, semantic, sentiment, emotion-, and color-related ones. We investigated different methods of text preprocessing including replacing text emojis with respective tokens and splitting hashtags to capture more meaning. To represent text we used word n-grams and word embeddings. We experimented with a wide range of classifiers and our best results were achieved using a SVM-based classifier and a Hierarchical Attention Neural Network.},
  url       = {http://www.aclweb.org/anthology/S18-1080}
}