TY - JOUR
T1 - Profiling Hate Speech Spreaders using characters and words N-grams
AU - Espinosa, Daniel Yacob
AU - Sidorov, Grigori
N1 - Publisher Copyright:
© 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
PY - 2021
Y1 - 2021
N2 - With the increase interactions in social networks, it is important to take care of the health of information and relationships between the users.One of the big problems today are hate speech within them, this type of comments as well as the users who share them can be very dangerous for the integrity of society. In this occasion we show a solution based on N-grams of characters and words for the task of "Profiling Hate Speech Spreaders on Twitter", as classifier we use SVM Support Vector Machines (libSVM) for English and Spanish corpus.
AB - With the increase interactions in social networks, it is important to take care of the health of information and relationships between the users.One of the big problems today are hate speech within them, this type of comments as well as the users who share them can be very dangerous for the integrity of society. In this occasion we show a solution based on N-grams of characters and words for the task of "Profiling Hate Speech Spreaders on Twitter", as classifier we use SVM Support Vector Machines (libSVM) for English and Spanish corpus.
UR - http://www.scopus.com/inward/record.url?scp=85113496722&partnerID=8YFLogxK
M3 - Artículo de la conferencia
AN - SCOPUS:85113496722
SN - 1613-0073
VL - 2936
SP - 1931
EP - 1936
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 2021 Working Notes of CLEF - Conference and Labs of the Evaluation Forum, CLEF-WN 2021
Y2 - 21 September 2021 through 24 September 2021
ER -