Natural Language Processing

All reports

NameOrganizationDescriptionFileTagsYearTypeLinkStatusSelf reference

Humboldt Universitat zu Berlin

A report on how deep learning transform models can classify grooming attempts. The authors of the report created a dataset that was then used by Viktor Bowallius and David Eklund in the report Grooming detection of chat segments using transformer models, where an f1 score of 0.98 was achieved.

Natural Language ProcessingClustering/Classification
Research (peer reviewed)