Tools to make sense of web data
This resource consists of two tools: one to classify toxic data in Finnish (e.g., insults, obscene language) from datasets retrieved from social media platforms; and another to identify registers (genres, e.g., reviews, interviews, news reports) from web content in diverse languages.
Toxicity classifier: https://github.com/TurkuNLP/toxicity-classifier
Multilingual modeling of web registers: https://github.com/TurkuNLP/multilingual-register-labeling
Resource developed by the University of Turku in partnership with the CSC.
Guidance can be found in the websites of the resources.
Contact for queries: Veronika Laipala