Corpus ID: 9071039

Antisocial Behavior corpus for harmful language detection

  title={Antisocial Behavior corpus for harmful language detection},
  author={Myriam Munezero and Maxim Mozgovoy and Tuomo Kakkonen and Vitaly Klyuev and Erkki Sutinen},
  journal={2013 Federated Conference on Computer Science and Information Systems},
We report on experiments that demonstrate the relevance of our AntiSocial Behavior (ASB) corpus as a machine learning resource to detect antisocial behavior from text. We first describe the corpus and then, by using the corpus for training machine learning algorithms, we build a set of binary classifiers. Experimental evaluations revealed that classifiers built based on the ASB corpus produce reliable classification results with up to 98% accuracy. We believe that the dataset will be valuable… Expand
Automatic Detection of Antisocial Behaviour in Texts
This work uses an ASB text corpus collected as a machine learning resource and approaches the detection of ASB in text as a binary classification problem where discriminating features are taken from the linguistic representation of the text in the form bag-of-words and ontology-based emotion descriptors. Expand
Anti social comment classification based on kNN algorithm
  • Nidhi Chandra, S. Khatri, S. Som
  • Computer Science
  • 2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
  • 2017
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