Profiling Hate Speech Spreaders using characters and words N-grams

Daniel Yacob Espinosa, Grigori Sidorov

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)1931-1936
Number of pages6
JournalCEUR Workshop Proceedings
Volume2936
StatePublished - 2021
Event2021 Working Notes of CLEF - Conference and Labs of the Evaluation Forum, CLEF-WN 2021 - Virtual, Bucharest, Romania
Duration: 21 Sep 202124 Sep 2021

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