DUTH at SemEval-2018 Task 2: Emoji Prediction in Tweets

Dimitrios Effrosynidis, Georgios Peikos, Symeon Symeonidis, Avi Arampatzis


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.
Anthology ID:
S18-1074
Volume:
Proceedings of The 12th International Workshop on Semantic Evaluation
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
466–469
Language:
URL:
https://www.aclweb.org/anthology/S18-1074
DOI:
10.18653/v1/S18-1074
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S18-1074.pdf