Add link to binary model.
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README.md
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Ternary text classification model based on [`classla/bcms-bertic`](https://huggingface.co/classla/bcms-bertic) and fine-tuned on the BCS Political Sentiment dataset (sentence-level data).
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For details on the dataset and the finetuning procedure, please see [this paper](https://arxiv.org/abs/2206.00929).
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Ternary text classification model based on [`classla/bcms-bertic`](https://huggingface.co/classla/bcms-bertic) and fine-tuned on the BCS Political Sentiment dataset (sentence-level data).
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This classifier classifies text into only three categories: Negative, Neutral, and Positive. For the binary classifier (Negative, Other) check [this model](https://huggingface.co/classla/bcms-bertic-parlasent-bcs-bi).
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For details on the dataset and the finetuning procedure, please see [this paper](https://arxiv.org/abs/2206.00929).
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