Fake News Detection Using Machine Learning. The normalization method is important step for cleaning data before using the machine learning method to classify data.
n this modern world, data is very important and by the 2020 year, 1.7 megaBytes data generated per second. So there are many technologies that change the world by this large amount of data. Machine learning is one of them and we are using this technology to detect fake news.
Machine learning is an application of AI which provides the ability to system to learn things without being explicitly programmed. Machine learning works on data and it will learn through some data. Machine learning is very different from the traditional approach. In, Machine learning we fed the data, and the machine generates the algorithm. Machine learning has three types of learning
Supervised learning means we trained our model with labeled examples so the machine first learns from those examples and then performs the task on unseen data. In this fake news detection project, we are using Supervised learning.
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What is Fake news?
Fake news simple meaning is to incorporate information that leads people to the wrong path. Nowadays fake news spreading like water and people share this information without verifying it. This is often done to further or impose certain ideas and is often achieved with political agendas.
For media outlets, the ability to attract viewers to their websites is necessary to generate online advertising revenue. So it is necessary to detect fake news.
As a part of a Machine Learning project, in this article, I will show you Fake News Detection Model with Machine Learning. I will use all the misinformation. Fake News is one of the major concerns in our society right now. It is a very widespread issue that even the most leading media sometimes gets with the trap of Fake News. If it’s difficult for media channels to detect fake news then it’s next to difficult for a general citizen. As a part of a Machine Learning project, in this article, I will show you Fake News Detection with Machine Learning. I will use all the misinformation that we heard from some previous months about coronavirus. So at the end of this article, you will be able to create a fake news detection model on coronavirus.
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