@inproceedings{gerber-shardlow-2018-manchester,
title = "{M}anchester Metropolitan at {S}em{E}val-2018 Task 2: Random Forest with an Ensemble of Features for Predicting Emoji in Tweets",
author = "Gerber, Luciano and
Shardlow, Matthew",
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/S18-1079",
doi = "10.18653/v1/S18-1079",
pages = "491--496",
abstract = "We present our submission to the Semeval 2018 task on emoji prediction. We used a random forest, with an ensemble of bag-of-words, sentiment and psycholinguistic features. Although we performed well on the trial dataset (attaining a macro f-score of 63.185 for English and 81.381 for Spanish), our approach did not perform as well on the test data. We describe our features and classi cation protocol, as well as initial experiments, concluding with a discussion of the discrepancy between our trial and test results.",
}
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%0 Conference Proceedings
%T Manchester Metropolitan at SemEval-2018 Task 2: Random Forest with an Ensemble of Features for Predicting Emoji in Tweets
%A Gerber, Luciano
%A Shardlow, Matthew
%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 gerber-shardlow-2018-manchester
%X We present our submission to the Semeval 2018 task on emoji prediction. We used a random forest, with an ensemble of bag-of-words, sentiment and psycholinguistic features. Although we performed well on the trial dataset (attaining a macro f-score of 63.185 for English and 81.381 for Spanish), our approach did not perform as well on the test data. We describe our features and classi cation protocol, as well as initial experiments, concluding with a discussion of the discrepancy between our trial and test results.
%R 10.18653/v1/S18-1079
%U https://aclanthology.org/S18-1079
%U https://doi.org/10.18653/v1/S18-1079
%P 491-496
Markdown (Informal)
[Manchester Metropolitan at SemEval-2018 Task 2: Random Forest with an Ensemble of Features for Predicting Emoji in Tweets](https://aclanthology.org/S18-1079) (Gerber & Shardlow, SemEval 2018)
ACL