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bert-base-uncased-clickbait-keywords
Stremie/bert-base-uncased-clickbait-keywords
bert-base-uncased-clickbait-keywords is a text classification model from Stremie. Use it when you need a label for a piece of text. It is set up for transformers.
This model classifies whether a tweet is clickbait or not. It has been trained using Webis-Clickbait-17 dataset. Input is composed of 'postText' + '[SEP]' + 'targetKeywords'. Achieved ~0.7 F1-score on test data.
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Apr 6, 2022
- Updated
- Apr 18, 2022
- SHA
- a629da66
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Model card
From the Hugging Face model README
This model classifies whether a tweet is clickbait or not. It has been trained using Webis-Clickbait-17 dataset. Input is composed of 'postText' + '[SEP]' + 'targetKeywords'. Achieved ~0.7 F1-score on test data.
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Apr 6, 2022
- Updated
- Apr 18, 2022