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README.md
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pipeline_tag: text-classification
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---
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A classifier trained on around 70k news articles, aimed at distinguishing real news from fake news.
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It is an EmbeddingBag-based text classifier made with PyTorch.
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Data used is [Gonzalo Álvarez's *Fake News*](https://huggingface.co/datasets/GonzaloA/fake_news) and [Mohammad Javad Pirhadi's *Fake News Detection Dataset (English)*](https://huggingface.co/datasets/mohammadjavadpirhadi/fake-news-detection-dataset-english).
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I could not find any specific citation to use.
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language:
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- en
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pipeline_tag: text-classification
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library_name: pytorch
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---
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A classifier trained on around 70k news articles, aimed at distinguishing real news from fake news.
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It is an EmbeddingBag-based text classifier made with PyTorch. Accuracy is 99.205%
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Data used is [Gonzalo Álvarez's *Fake News*](https://huggingface.co/datasets/GonzaloA/fake_news) and [Mohammad Javad Pirhadi's *Fake News Detection Dataset (English)*](https://huggingface.co/datasets/mohammadjavadpirhadi/fake-news-detection-dataset-english).
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I could not find any specific citation to use.
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