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covid-hatespeech-detection
nihaldsouza1/covid-hatespeech-detection
covid-hatespeech-detection is a text classification model from nihaldsouza1. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
Since the start of the COVID-19 pandemic, there has been a widespread increase in the amount of hate-speech being propagated online against the Asian community. This project builds upon and explores the work of He et…
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- May 10, 2022
- Updated
- Nov 3, 2022
- SHA
- 4f6da4c7
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Model card
From the Hugging Face model README
Since the start of the COVID-19 pandemic, there has been a widespread increase in the amount of hate-speech being propagated online against the Asian community. This project builds upon and explores the work of He et al. Their COVID-HATE dataset contains 206 million tweets focused around anti-Asian hate speech. Using tweet data from before the COVID-19 pandemic, as well as the COVID-HATE dataset from He et al, we performed transfer learning. We tested several different models, including BERT, RoBERTa, LSTM, and BERT-CNN. Some of these models hindered the performance of He et al’s model, while others improved it.
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Languages
- en
- Created
- May 10, 2022
- Updated
- Nov 3, 2022