Comment analyzer text changes
The right-hand panel of the comment analyzer demo can have these descriptions:
Comment Moderator - QMUL Simple BERT Model (Cross-lingual)
A supervised method for classifying texts using Multilingual BERT, fine-tuned on manually annotated Tweets in English. Can be applied to any language (but will work best on English).
Additional information: https://github.com/EMBEDDIA/comment-filter
Comment Moderator - QMUL Multilingual BERT Model (Cross-lingual)
A supervised method for classifying texts using Multilingual BERT, fine-tuned on data in English, German, Croatian, Slovene and Estonian. Can be applied to any language (but will work best on the training languages).
Additional information: https://github.com/EMBEDDIA/comment-filter-mbert-multi
Comment Moderator - QMUL CSEBERT Model (English, Slovenian, Croatian)
A supervised method for classifying texts using CroSloEngualBERT, fine-tuned on data in English, Croatian, and Slovene. Can be applied to any of these three languages.
Additional information: https://github.com/EMBEDDIA/comment-filter-csebert-cse
Comment Moderator - QMUL FEBERT Model (English, Estonian)
A supervised method for classifying texts using FinEstBERT, fine-tuned on data in English and Estonian. Can be applied to those two languages (and Finnish although performance will be less good).
Additional information: https://github.com/EMBEDDIA/comment-filter-finest-bert-engee
Comment Moderator - TEXTA BERT Model (Estonian)
A supervised method for classifying texts using Estonian BERT, fine-tuned on annotated comments in Estonian. Can be applied only to Estonian language data.
Additional information: https://pypi.org/project/texta-bert-tagger https://git.texta.ee/texta/texta-bert-tagger-python