@InProceedings{effrosynidis-EtAl:2018:S18-1,
  author    = {Effrosynidis, Dimitrios  and  Peikos, Georgios  and  Symeonidis, Symeon  and  Arampatzis, Avi},
  title     = {DUTH at SemEval-2018 Task 2: Emoji Prediction in Tweets},
  booktitle = {Proceedings of The 12th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {466--469},
  abstract  = {This paper describes the approach that was developed for SemEval 2018 Task 2 (Multilingual Emoji Prediction) by the DUTH Team. First, we employed a combination of pre-processing techniques to reduce the noise of tweets and produce a number of features. Then, we built several N-grams, to represent the combination of word and emojis. Finally, we trained our system with a tuned LinearSVC classifier. Our approach in the leaderboard ranked 18th amongst 48 teams.},
  url       = {http://www.aclweb.org/anthology/S18-1074}
}