LIS at SemEval-2018 Task 2: Mixing Word Embeddings and Bag of Features for Multilingual Emoji Prediction

Abstract

In this paper we present the system submitted to the SemEval2018 task2 : Multilingual Emoji Prediction. Our system approaches both languages as being equal by first; considering word embeddings associated to automatically computed features of different types, then by applying bagging algorithm RandomForest to predict the emoji of a tweet.

Publication
In Proceedings of The 12th International Workshop on Semantic Evaluation
Gaël Guibon
Gaël Guibon
Associate Professor

My research goes from emojis and emotion prediction and recommendation to meta learning, few-shot learning and French lexical evolution studies.

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