Full Stack Fake News Detection Using Machine Learning || Final Year Project
Full stack (Front and back End) Web application Fake News Detection Project Using Machine Learning Project with code and documents.
Abstract :
Internet is one of the important inventions and a large number of persons are its users. These persons use this for different purposes. There are different social media platforms that are accessible to these users. Any user can make a post or spread the news through these online platforms. These platforms do not verify the users or their posts. So some of the users try to spread fake news through these platforms. These fake news can be a propaganda against an individual, society, organization or political party. A human being is unable to detect all these fake news. So there is a need for machine learning classifiers that can detect these fake news automatically. Use of machine learning classifiers for detecting the fake news is shown and Implemented.
Keywords: Online fake news, Machine learning, fake news, Text Classification, social media
Github: https://github.com/Vatshayan/Full-Sta...
Base Research Paper : https://arxiv.org/pdf/2102.04458.pdf
NOTE : PROJECT SERVICES ARE PAID !!!
Project Tech Used :
Front End : HTML & CSS
Back End : Python
Model Dev : Jupyter Notebook
Datasets : News
Project Include:
1. Synopsis
2. PPT
3. Research Base paper
4. Code
5. Explanation video
6. Documents
7. Report
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Topic of this Project : Fake News Detection Using Machine Learning
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NOTE : PROJECT SERVICES ARE PAID !!!
Tags :
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