Fake_News_Detection
所属分类:聚类算法
开发工具:Jupyter Notebook
文件大小:14004KB
下载次数:0
上传日期:2021-06-01 05:07:01
上 传 者:
sh-1993
说明: 使用Flask和Python的假新闻分类WebApp
(Fake News Classification WebApp using Flask & Python)
文件列表:
Fake_News_Det.py (1307, 2021-06-01)
Fake_News_Detection.ipynb (18518, 2021-06-01)
fn.jpg (430317, 2021-06-01)
model.pkl (494824, 2021-06-01)
news.csv (30696129, 2021-06-01)
requirements.txt (42, 2021-06-01)
s1.PNG (864321, 2021-06-01)
s2.PNG (875163, 2021-06-01)
static (0, 2021-06-01)
static\style.css (5609, 2021-06-01)
templates (0, 2021-06-01)
templates\index.html (1181, 2021-06-01)
# Fake News“° Classification WebApp using Python
[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)
[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)
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### Sourcerer
## [See the Tutorial of this Project](https://youtu.be/GS_ylghUtLQ)
## Usage:-
- Clone my repository.
- Open CMD in working directory.
- Run `pip install -r requirements.txt`
- Open project in any IDE(Pycharm or VSCode)
- Run `Fake_News_Det.py`, go to the `http://127.0.0.1:5000/`
- If you want to build your model with the some changes, you can check the `Fake_News_Detection.ipynb`.
- You can check web app is working fine. Sometimes predictions may be wrong.
## Screenshots
## Note
- This project is just for learning purpose, don't think, it can do work in real time, because model was trained on historic & limited data.
- For real time building of this kind of system, we need updated dataset and we need to build a model in particular interval of time, because news data can be updated in seconds, so our model should be also updated with the data.
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