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# NewsSentiment: easy-to-use, high-quality target-dependent sentiment classification for news articles
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## Important: [use our PyPI package!](https://pypi.org/project/NewsSentiment/)
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The Huggingface Hub architecture currently [does not support](https://github.com/huggingface/transformers/issues/14785) target-dependent sentiment classification since one cannot provide the required inputs, i.e., sentence and target. Thus, we recommend that you use our easy-to-use [PyPI package NewsSentiment](https://pypi.org/project/NewsSentiment/).
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This model is the currently [best performing](https://aclanthology.org/2021.eacl-main.142.pdf)
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targeted sentiment classifier for news articles. In contrast to regular sentiment
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classification, targeted sentiment classification allows you to provide a target in a sentence.
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# NewsSentiment: easy-to-use, high-quality target-dependent sentiment classification for news articles
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## Important: [use our PyPI package!](https://pypi.org/project/NewsSentiment/) instead of this model on the Hub
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The Huggingface Hub architecture currently [does not support](https://github.com/huggingface/transformers/issues/14785) target-dependent sentiment classification since one cannot provide the required inputs, i.e., sentence and target. Thus, we recommend that you use our easy-to-use [PyPI package NewsSentiment](https://pypi.org/project/NewsSentiment/).
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## Description
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This model is the currently [best performing](https://aclanthology.org/2021.eacl-main.142.pdf)
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targeted sentiment classifier for news articles. In contrast to regular sentiment
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classification, targeted sentiment classification allows you to provide a target in a sentence.
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