Resources for Nigerian language modeling and hate speech detection
AI & ML interests
None defined yet.
Organization Card
Edit this README.md markdown file to author your organization card.
Employment status inference of American, Mexican and Brazilian Twitter users from their tweets.
-
worldbank/jobless-bert
Text Classification • 0.1B • Updated -
worldbank/bert-twitter-en-is-unemployed
Text Classification • Updated • 71 -
worldbank/bert-twitter-es-is-unemployed
Text Classification • Updated • 35 -
worldbank/bert-twitter-pt-is-unemployed
Text Classification • Updated • 1 • 3
Resources for Nigerian language modeling and hate speech detection
Employment status inference of American, Mexican and Brazilian Twitter users from their tweets.
-
worldbank/jobless-bert
Text Classification • 0.1B • Updated -
worldbank/bert-twitter-en-is-unemployed
Text Classification • Updated • 71 -
worldbank/bert-twitter-es-is-unemployed
Text Classification • Updated • 35 -
worldbank/bert-twitter-pt-is-unemployed
Text Classification • Updated • 1 • 3
models 20
worldbank/naija-xlm-twitter-base-hate
Text Classification • Updated
• 109
worldbank/naija-xlm-twitter-base
Fill-Mask • Updated
• 1
worldbank/jobless-bert
Text Classification • 0.1B • Updated
worldbank/bert-twitter-pt-is-unemployed
Text Classification • Updated
• 1 • 3
worldbank/bert-twitter-pt-job-search
Text Classification • Updated
• 3 • 2
worldbank/bert-twitter-pt-job-offer
Text Classification • Updated
• 1 • 1
worldbank/bert-twitter-pt-is-hired
Text Classification • Updated
• 4 • 1
worldbank/bert-twitter-pt-lost-job
Text Classification • Updated
• 1 • 2
worldbank/bert-twitter-es-job-search
Text Classification • Updated
• 4
worldbank/bert-twitter-es-job-offer
Text Classification • Updated
• 1