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
Editors:
Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
466–469
Language:
URL:
https://aclanthology.org/S18-1074
DOI:
10.18653/v1/S18-1074
Bibkey:
Cite (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.
Cite (Informal):
DUTH at SemEval-2018 Task 2: Emoji Prediction in Tweets (Effrosynidis et al., SemEval 2018)
Copy Citation:
PDF:
https://aclanthology.org/S18-1074.pdf