fake-news-detection

所属分类:人工智能/神经网络/深度学习
开发工具:Jupyter Notebook
文件大小:364KB
下载次数:0
上传日期:2019-06-19 00:23:12
上 传 者sh-1993
说明:  假新闻检测,检测假新闻文章的机器学习(FakeNewsNet,Google BERT)
(fake-news-detection,Machine Learning to detect fake news articles (FakeNewsNet, Google BERT))

文件列表:
Capstone Project 2.ipynb (589587, 2019-06-19)
datascience.py (9378, 2019-06-19)
getnews.py (1551, 2019-06-19)

# fake-news-detection Machine Learning project to detect fake news articles from text using FakeNewsNet dataset, and Google BERT algorithm. We live in a post-truth world, where misinformation seems to increase all the time. We need a way to identify misinformation, apart from exhaustive, deep research on everything we read. Besides a few heuristics, can we go deeper with statistics and machine learning? This analysis shows that we can. Main analysis is housed in file Capstone Project 2.ipynb Custom modules for nlp and data processing are datascience.py and getnews.py FakeNewsNet: https://github.com/KaiDMML/FakeNewsNet Google BERT: https://github.com/google-research/bert

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