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

Gaël Guibon (1, 2, 3, 4, 5) , Magalie Ochs (1, 2, 3, 4, 5) , Patrice Bellot (1, 2, 3, 4, 5)

1 LIS - Laboratoire d'Informatique et Systèmes
2 DIMAG - Data, Information & content MAnagement Group
3 AMU - Aix Marseille Université
4 R2I - Recherche d’information et Interactions
5 ILCB - Institute of Language, Communication and the Brain

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.

Domains: Computer Science [cs]; Computation and Language [cs.CL]; Computer Science [cs]; Social and Information Networks [cs.SI]; Computer Science [cs]; Artificial Intelligence [cs.AI]

Gaël Guibon, Magalie Ochs, Patrice Bellot. LIS at SemEval-2018 Task 2: Mixing Word Embeddings and Bag of Features for Multilingual Emoji Prediction. SemEVAL, Jun 2018, New-Orleans, United States. ⟨hal-01871338⟩