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--- |
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license: gpl-3.0 |
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datasets: |
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- GonzaloA/fake_news |
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- mohammadjavadpirhadi/fake-news-detection-dataset-english |
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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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Check [GitHub](https://github.com/ShadowDeveloper/FakeNewsClassifier) for the training code and output log. |
