Publicación:
DETECTING AGGRESSIVENESS IN TWEETS: A HYBRID MODEL FOR DETECTING CYBERBULLYING IN THE SPANISH LANGUAGE

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dc.creatorMANUEL ANDRÉS LEPE FAÚNDEZ
dc.creatorCLEMENTE RUBIO MANZANO
dc.creatorALEJANDRA ANDREA SEGURA NAVARRETE
dc.creatorCHRISTIAN LAUTARO VIDAL CASTRO
dc.date2021
dc.date.accessioned2025-01-10T15:27:26Z
dc.date.available2025-01-10T15:27:26Z
dc.date.issued2021
dc.description.abstractIN RECENT YEARS, THE USE OF SOCIAL NETWORKS HAS INCREASED EXPONENTIALLY, WHICH HAS LED TO A SIGNIFICANT INCREASE IN CYBERBULLYING. CURRENTLY, IN THE FIELD OF COMPUTER SCIENCE, RESEARCH HAS BEEN MADE ON HOW TO DETECT AGGRESSIVENESS IN TEXTS, WHICH IS A PRELUDE TO DETECTING CYBERBULLYING. IN THIS FIELD, THE MAIN WORK HAS BEEN DONE FOR ENGLISH LANGUAGE TEXTS, MAINLY USING MACHINE LEARNING (ML) APPROACHES, LEXICON APPROACHES TO A LESSER EXTENT, AND VERY FEW WORKS USING HYBRID APPROACHES. IN THESE, LEXICONS AND MACHINE LEARNING ALGORITHMS ARE USED, SUCH AS COUNTING THE NUMBER OF BAD WORDS IN A SENTENCE USING A LEXICON OF BAD WORDS, WHICH SERVES AS AN INPUT FEATURE FOR CLASSIFICATION ALGORITHMS. THIS RESEARCH AIMS AT CONTRIBUTING TOWARDS DETECTING AGGRESSIVENESS IN SPANISH LANGUAGE TEXTS BY CREATING DIFFERENT MODELS THAT COMBINE THE LEXICONS AND ML APPROACH. TWENTY-TWO MODELS THAT COMBINE TECHNIQUES AND ALGORITHMS FROM BOTH APPROACHES ARE PROPOSED, AND FOR THEIR APPLICATION, CERTAIN HYPERPARAMETERS ARE ADJUSTED IN THE TRAINING DATASETS OF THE CORPORA, TO OBTAIN THE BEST RESULTS IN THE TEST DATASETS. THREE SPANISH LANGUAGE CORPORA ARE USED IN THE EVALUATION: CHILEAN, MEXICAN, AND CHILEAN-MEXICAN CORPORA. THE RESULTS INDICATE THAT HYBRID MODELS OBTAIN THE BEST RESULTS IN THE 3 CORPORA, OVER IMPLEMENTED MODELS THAT DO NOT USE LEXICONS. THIS SHOWS THAT BY MIXING APPROACHES, AGGRESSIVENESS DETECTION IMPROVES. FINALLY, A WEB APPLICATION IS DEVELOPED THAT GIVES APPLICABILITY TO EACH MODEL BY CLASSIFYING TWEETS, ALLOWING EVALUATING THE PERFORMANCE OF MODELS WITH EXTERNAL CORPUS AND RECEIVING FEEDBACK ON THE PREDICTION OF EACH ONE FOR FUTURE RESEARCH. IN ADDITION, AN API IS AVAILABLE THAT CAN BE INTEGRATED INTO TECHNOLOGICAL TOOLS FOR PARENTAL CONTROL, ONLINE PLUGINS FOR WRITING ANALYSIS IN SOCIAL NETWORKS, AND EDUCATIONAL TOOLS, AMONG OTHERS.
dc.formatapplication/pdf
dc.identifier.doi10.3390/app112210706
dc.identifier.issn2076-3417
dc.identifier.issn2076-3417
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/12105
dc.languagespa
dc.publisherApplied Sciences-Basel
dc.relation.uri10.3390/app112210706
dc.rightsPUBLICADA
dc.titleDETECTING AGGRESSIVENESS IN TWEETS: A HYBRID MODEL FOR DETECTING CYBERBULLYING IN THE SPANISH LANGUAGE
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE SISTEMAS DE INFORMACION
ubb.Otra ReparticionDEPARTAMENTO DE SISTEMAS DE INFORMACION
ubb.Otra ReparticionDEPARTAMENTO DE SISTEMAS DE INFORMACION
ubb.SedeCONCEPCIÓN
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