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  # Multilingual parliament sentiment regression model XLM-R-Parla-Sent
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- This model is based on [xlm-r-parla](https://huggingface.co/classla/xlm-r-parla), an XLM-R-large model additionally pre-trained on parliamentary proceedings, and fine-tuned on manually annotated sentiment datasets from Bosnia and Herzegovina, Croatia, Czechia, Serbia, Slovakia, Slovenia, and the United Kingdom.
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  Both the additionally pre-trained model, as the training dataset are results of the [ParlaMint project](https://www.clarin.eu/parlamint). The details on the models and the dataset are described in the following publication (to be published soon):
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  # Multilingual parliament sentiment regression model XLM-R-Parla-Sent
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+ This model is based on [xlm-r-parla](https://huggingface.co/classla/xlm-r-parla), an XLM-R-large model additionally pre-trained on parliamentary proceedings. The model was fine-tuned on the [ParlaSent dataset](http://hdl.handle.net/11356/1868), a manually annotated selection of sentences of parliamentary proceedings from Bosnia and Herzegovina, Croatia, Czechia, Serbia, Slovakia, Slovenia, and the United Kingdom.
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  Both the additionally pre-trained model, as the training dataset are results of the [ParlaMint project](https://www.clarin.eu/parlamint). The details on the models and the dataset are described in the following publication (to be published soon):
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