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# bert-base-multilingual-cased-finetuned-openalex-topic-classification-title-abstract
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on a labeled dataset provided by CWTS: [CWTS Labeled Data](https://zenodo.org/records/10560276). To see how CWTS labeled the data, please check out the following blog post: [An open approach for classifying research publications](https://www.leidenmadtrics.nl/articles/an-open-approach-for-classifying-research-publications)
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It was made with the purpose of being able to classify scholarly work with a fixed set of well-defined topics. This is NOT the full model being used to tag [OpenAlex](https://openalex.org/) works with a topic. For that, check out the following github repo:
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[OpenAlex Topic Classification](https://github.com/ourresearch/openalex-topic-classification)
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# bert-base-multilingual-cased-finetuned-openalex-topic-classification-title-abstract
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on a labeled dataset provided by [CWTS](https://www.cwts.nl/)(for labeled data: [CWTS Labeled Data](https://zenodo.org/records/10560276)). To see how CWTS labeled the data, please check out the following blog post: [An open approach for classifying research publications](https://www.leidenmadtrics.nl/articles/an-open-approach-for-classifying-research-publications)
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It was made with the purpose of being able to classify scholarly work with a fixed set of well-defined topics. This is NOT the full model being used to tag [OpenAlex](https://openalex.org/) works with a topic. For that, check out the following github repo:
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[OpenAlex Topic Classification](https://github.com/ourresearch/openalex-topic-classification)
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