hritik5102 / Fake-news-classification-model

✨ Fake news classification using source adaptive framework - BE Project 🎓The repository contains Detailed Documentation of the project, Classification pipeline, Architecture, System Interface Design, Tech stack used.

Date Created 2020-11-27 (4 years ago)

Commits 156 (last one about a year ago)

Stargazers 40 (0 this week)

Watchers 1 (0 this week)

Forks 8

License mit

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RepositoryStats indexes 625,486 repositories, of these hritik5102/Fake-news-classification-model is ranked #541,036 (14th percentile) for total stargazers, and #552,062 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,108/18,764.

hritik5102/Fake-news-classification-model is also tagged with popular topics, for these it's ranked: python (#20,966/23202), deep-learning (#7,941/8757), machine-learning (#7,544/8341), natural-language-processing (#1,333/1464), bert (#533/574)

Other Information

hritik5102/Fake-news-classification-model has 2 open pull requests on Github, 20 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 1 closed issue.

All Topics

bert glove bilstm python roberta fake-news openai-gpt2 deep-learning machine-learning fake-news-dataset fake-news-detection fake-news-classification natural-language-processing

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updated: 2025-03-07 @ 11:06am, id: 316494145 / R_kgDOEt1RQQ