TY - JOUR
T1 - Using lexical resources for detecting offensiveness in mexican spanish tweets
AU - Huerta-Velasco, Daniel Abraham
AU - Calvo, Hiram
N1 - Publisher Copyright:
© 2021 CEUR-WS. All rights reserved.
PY - 2021
Y1 - 2021
N2 - This work presents a description of our participation in subtasks 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'.
AB - This work presents a description of our participation in subtasks 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'.
KW - Lexical Resources
KW - Mexican Spanish Tweets
KW - Sentiment Analysis
KW - Text Classification
UR - http://www.scopus.com/inward/record.url?scp=85115341737&partnerID=8YFLogxK
M3 - Artículo de la conferencia
AN - SCOPUS:85115341737
SN - 1613-0073
VL - 2943
SP - 240
EP - 250
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 2021 Iberian Languages Evaluation Forum, IberLEF 2021
Y2 - 21 September 2021
ER -