metadata
license: mit
Classifier of topic discussed in vaccine-related content in Italian language
A monolingual model for classifying the topic discussed in vaccine-related content in Italian language. The model was trained on 36,722 and independently tested on 9,299 social media content between Facebook posts, Twitter tweets, Instagram media and YouTube videos. It is a fine-tuned version of bert-base-multilingual-cased.
Model output
The model classifies each input into one of six distinct classes:
LABEL_0 = Administration of vaccines
LABEL_1 = Vaccine business
LABEL_2 = Effectiveness of vaccination
LABEL_3 = Other
LABEL_4 = Legal issues
LABEL_5 = Safety concerns