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 preprocessing 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.
Cite
CITATION STYLE
Effrosynidis, D., Peikos, G., Symeonidis, S., & Arampatzis, A. (2018). DUTH at SemEval-2018 Task 2: Emoji Prediction in Tweets. In NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop (pp. 466–469). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s18-1074
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