5 juin 2019
https://creativecommons.org/licenses/by-nc-nd/4.0/ , info:eu-repo/semantics/openAccess
Mauro Bennici et al., « The validity of word vectors over the time for the EVALITA 2018 Emoji prediction task (ITAmoji) », Accademia University Press, ID : 10.4000/books.aaccademia.4605
This document describes the results of our system in the evaluation campaign on the prediction of Emoji in Italian, organized in the context of EVALITA 2018 (Ronzano et al., 2018). Given the text of a tweet in Italian, the task is to predict the emoji most likely associated with that tweet among the 25 emojis selected by the organizers. In this report, we describe the three proposed systems for evaluation. The approach described starts from the possibility of creating two different models, one for the part of categorization, and the other for the part of polarity. And to combine the two models to get a better understanding of the dataset.