fake-news

所属分类:内容生成
开发工具:Jupyter Notebook
文件大小:1028KB
下载次数:0
上传日期:2023-01-06 13:30:30
上 传 者sh-1993
说明:  使用深度学习训练模型来区分假新闻和真实新闻
(Using deep learning to train a model to distinguish between fake and real news)

文件列表:
LICENSE (35149, 2020-08-11)
Procfile (22, 2020-08-11)
app.py (654, 2020-08-11)
backend (0, 2020-08-11)
backend\__init__.py (0, 2020-08-11)
backend\ft_model.py (3115, 2020-08-11)
backend\utils (0, 2020-08-11)
backend\utils\__init__.py (0, 2020-08-11)
backend\utils\common.py (755, 2020-08-11)
backend\utils\s3_settings.py (248, 2020-08-11)
build (0, 2020-08-11)
build\asset-manifest.json (849, 2020-08-11)
build\favicon.ico (3150, 2020-08-11)
build\index.html (2159, 2020-08-11)
build\logo192.png (5347, 2020-08-11)
build\logo512.png (9664, 2020-08-11)
build\manifest.json (492, 2020-08-11)
build\precache-manifest.bedf264355b7bee4d9cdd880860e284f.js (559, 2020-08-11)
build\robots.txt (67, 2020-08-11)
build\service-worker.js (1181, 2020-08-11)
build\static (0, 2020-08-11)
build\static\js (0, 2020-08-11)
build\static\js\2.12399630.chunk.js (271619, 2020-08-11)
build\static\js\2.12399630.chunk.js.LICENSE.txt (1037, 2020-08-11)
build\static\js\2.12399630.chunk.js.map (780737, 2020-08-11)
build\static\js\main.ac10bce8.chunk.js (1908, 2020-08-11)
build\static\js\main.ac10bce8.chunk.js.map (9857, 2020-08-11)
0f7ddae7.js (1565, 2020-08-11)
0f7ddae7.js.map (8278, 2020-08-11)
demo (0, 2020-08-11)
demo\fake_news_gif.gif (399543, 2020-08-11)
frontend (0, 2020-08-11)
frontend\.prettierrc (109, 2020-08-11)
frontend\package.json (967, 2020-08-11)
frontend\public (0, 2020-08-11)
... ...

# Fake News Classifier ## Overview This is an LSTM RNN model that classifies news stories as fake or not. At this point, the answer is the probability of a given story to be fake. The data for training this model is taken from: https://www.kaggle.com/clmentbisaillon/fake-and-real-news-dataset The app uses Flask as the backend service. Model is stored on S3. ## Usage Go to https://fake-news-ap.herokuapp.com/ ![https://fake-news-ap.herokuapp.com/](https://github.com/oren0e/fake-news/blob/master/demo/fake_news_gif.gif) ## TODO 1. Improve logging

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