@inproceedings{effrosynidis-etal-2018-duth,
    title = "{DUTH} at {S}em{E}val-2018 Task 2: Emoji Prediction in Tweets",
    author = "Effrosynidis, Dimitrios  and
      Peikos, Georgios  and
      Symeonidis, Symeon  and
      Arampatzis, Avi",
    editor = "Apidianaki, Marianna  and
      Mohammad, Saif M.  and
      May, Jonathan  and
      Shutova, Ekaterina  and
      Bethard, Steven  and
      Carpuat, Marine",
    booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/S18-1074/",
    doi = "10.18653/v1/S18-1074",
    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."
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%0 Conference Proceedings
%T DUTH at SemEval-2018 Task 2: Emoji Prediction in Tweets
%A Effrosynidis, Dimitrios
%A Peikos, Georgios
%A Symeonidis, Symeon
%A Arampatzis, Avi
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Bethard, Steven
%Y Carpuat, Marine
%S Proceedings of the 12th International Workshop on Semantic Evaluation
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F effrosynidis-etal-2018-duth
%X 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.
%R 10.18653/v1/S18-1074
%U https://aclanthology.org/S18-1074/
%U https://doi.org/10.18653/v1/S18-1074
%P 466-469
Markdown (Informal)
[DUTH at SemEval-2018 Task 2: Emoji Prediction in Tweets](https://aclanthology.org/S18-1074/) (Effrosynidis et al., SemEval 2018)
ACL
- Dimitrios Effrosynidis, Georgios Peikos, Symeon Symeonidis, and Avi Arampatzis. 2018. DUTH at SemEval-2018 Task 2: Emoji Prediction in Tweets. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 466–469, New Orleans, Louisiana. Association for Computational Linguistics.