DUTH at SemEval-2018 Task 2: Emoji Prediction in Tweets
2018-06-01SEMEVAL 2018Unverified0· sign in to hype
Dimitrios Effrosynidis, Georgios Peikos, Symeon Symeonidis, Avi Arampatzis
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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.