https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset https://huggingface.co/bert-base-uncased https://keras.io/api/keras_nlp/tokenizers/tokenizer/ https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html ...
We can obtain these features from forums, social environments and even from part of accompanying images, so we review the present work in the succeeding three areas: fake news detection based on traditional machine learning, fake news detection based on single modal data, and fake news detection...
The dataset used for this model is publicly available on the portal ’kaggle.com’59and originally comes from the work of Ahmed, H., Traore, I. & Saad, S.60. The authors took genuine news articles from the news website ’Reuters.com’, while the fake ones were collected from another ...
Fake News detection, https://www.kaggle.com/jruvika/fake-news-detection, last accessed 2019/07/13. Google Scholar Cited by (158) Detection of fake news using deep learning CNN–RNN based methods 2022, ICT Express Citation Excerpt : They use Fake News Dataset [16], and as a result, thei...
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Fake news vs satire: A dataset and analysis, in: Proceedings of the 10th ACM Conference on Web Science, 2018, pp. 17–21. Google Scholar [6] Varshney D., Vishwakarma D.K. A review on rumour prediction and veracity assessment in online social network Expert Syst. Appl. (2020), Article...
Various researchers have recently addressed the problem of fake review detection. The most common approach is to use machine learning (ML) methods to build a binary classifier, working in a carefully designed feature space. However, to make an ML model, there needs to be a dataset that it ca...
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Input DATASETS fake-reviews-dataset Output Fake Reviews Dataset Language Python License This Notebook has been released under the Apache 2.0 open source license. Continue exploring Input1 file arrow_right_alt Output1 file arrow_right_alt Logs20.6 second run - successful arrow_right_alt Comments0 co...
Support vector machine (SVM) models have also shown promising results, with an accuracy of 93.15% being achieved when applying the data from the fake news dataset extracted from Kaggle, outperforming the LR approach applied to the same data by 6.82% [39]. While many researchers investigate the...