Classifying Misogynistic Tweets Using a Blended Model: the AMI Shared Task in IBEREVAL 2018
John Cardiff, Elena Shushkevich · Arrow - TU Dublin (Technological University Dublin) · 2018
This article describes a possible solution for Automatic Misogyny Identification (AMI) Shared Task at IBEREVAL-2018. The proposed technique is based on combining several simpler classifiers into one more complex blended model, which classified the data taking into account the probabilities of belonging to classes calculated by simpler models. We used the Logistic Regression, Naive Bayes, and SVM classifiers. The experimental results show that blended model works better than simpler models for all three type of classification, for both binomial classification (Misogyny Identifivation, Target Classification) and multinomial classification (Misogynistic Behavior).