| Resumen |
This work presents a description of our participation in sub- tasks 3 and 4 at MeOffendEs@IberLEF 2021 which consisted in classifying tweets as offensive or non-offensive in the OffendMEX corpus. For both subtasks, we proposed to use several Spanish lexicons which have a collection of words that have been weighted according to different criteria like affective, dimensional, and emotional values. In addition to them, structural values, word-embeddings and one-hot codification were taken into account. The scores of recall metric obtained in both subtasks was competitive comparing to both the baseline of the competition’s and the other teams’.
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