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bert-base-multilingual-uncased
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bert-base-multilingual-cased
bert-base-uncased
aubmindlab/bert-base-arabert
bert-base-multilingual-uncased
malteos/scincl
allenai/scibert_scivocab_uncased
CAMeL-Lab/bert-base-arabic-camelbert-msa
Hinglish Sentiment
This dataset was released as part of SemEval 2020, Task 9 on Sentiment Analysis in Code Mixed Social Media (Twitter) text. It tags positive, neutral and negative sentiment. There are 17,000 tweets, of which 14,000 are marked for training.
Website
sentiment/hinglish-twitter-sentiment@nirantk
bert-base-multilingual-uncased
1 version
Architecture: pfeiffer
Head:
Adapter for Hinglish Sentiment Analysis, based on SemEval 2020 Task 9