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Sampling Techniques to Overcome Class Imbalance in a Cyberbullying Context

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Sampling Techniques to Overcome Class Imbalance in a Cyberbullying Context

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Colton, D.; Hofmann, M. (2019). Sampling Techniques to Overcome Class Imbalance in a Cyberbullying Context. Journal of Computer-Assisted Linguistic Research. 3(3):21-40. https://doi.org/10.4995/jclr.2019.11112

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/123823

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Title: Sampling Techniques to Overcome Class Imbalance in a Cyberbullying Context
Author:
Issued date:
Abstract:
[EN] The majority of datasets suffer from class imbalance where samples of a dominant class significantly outnumber the samples available for the minority class that is to be detected. Prediction and classification machine ...[+]
Subjects: Text mining , Class imbalance , Cyberbullying , Sampling , Classification
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Journal of Computer-Assisted Linguistic Research. (eissn: 2530-9455 )
DOI: 10.4995/jclr.2019.11112
Publisher:
Universitat Politècnica de València
Publisher version: https://doi.org/10.4995/jclr.2019.11112
Type: Artículo

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