Read A Study of Tackling Fake News with Machine Learning Approaches

A Study of Tackling Fake News with Machine Learning Approaches

Balamurugan Rengeswaran

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Description:Document from the year 2024 in the subject Computer Sciences - Computational linguistics, grade: 10, VIT University (VIT), course: Computer Science, language: English, abstract: The fake news on social media and various other media is wide spreading and is a mat- ter of serious concern due to its ability to cause a lot of social and national damage with destructive impacts. A lot of research is already focused on detecting it. Here we take three data sets namely ” fake news and real news”, ”ISOT” and ”LIAR”. We try to implement six machine learning models on these data sets and trying to find their accu- racy and precision. The models we uses are Decision Tree, Random Forest, Support vector machine, Naive Bayes, KNN and LSTM. WE use tools like python scikit learn and NLP. Python scikit library can be used for feature extraction and textual analysis. We tries to find out which model works best on which data keeping the complexity of the data in mind. We would like to find a perfect model for any of the regional language. But the constrain is the availability of good dataset . So we try to propose a new dataset.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with A Study of Tackling Fake News with Machine Learning Approaches. To get started finding A Study of Tackling Fake News with Machine Learning Approaches, you are right to find our website which has a comprehensive collection of manuals listed.
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Pages: 64

Format: PDF, EPUB & Kindle Edition

Publisher: GRIN Verlag

Release: 2024

ISBN: eq8IEQAAQBAJ

Description: Document from the year 2024 in the subject Computer Sciences - Computational linguistics, grade: 10, VIT University (VIT), course: Computer Science, language: English, abstract: The fake news on social media and various other media is wide spreading and is a mat- ter of serious concern due to its ability to cause a lot of social and national damage with destructive impacts. A lot of research is already focused on detecting it. Here we take three data sets namely ” fake news and real news”, ”ISOT” and ”LIAR”. We try to implement six machine learning models on these data sets and trying to find their accu- racy and precision. The models we uses are Decision Tree, Random Forest, Support vector machine, Naive Bayes, KNN and LSTM. WE use tools like python scikit learn and NLP. Python scikit library can be used for feature extraction and textual analysis. We tries to find out which model works best on which data keeping the complexity of the data in mind. We would like to find a perfect model for any of the regional language. But the constrain is the availability of good dataset . So we try to propose a new dataset.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with A Study of Tackling Fake News with Machine Learning Approaches. To get started finding A Study of Tackling Fake News with Machine Learning Approaches, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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A Study of Tackling Fake News with Machine Learning Approaches

A Study of Tackling Fake News with Machine Learning Approaches

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