Fake news detection using Deep Learning and Natural Language Processing

-, Shaik Nasir Vali (2022) Fake news detection using Deep Learning and Natural Language Processing. Masters thesis, Dublin, National College of Ireland.

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Abstract

Although “fake news” is a major issue today, it is not insurmountable. Multiple factors, including the proliferation of social media, may contribute to the rapid growth of disinformation campaigns. There is no way to prevent ‘Fabrications’ or ‘Fraudulent Stories’, however many different machine learning algorithms have been developed to determine if a story is true or not. Several researchers have tackled this problem using machine learning techniques like SVM classifier and KNNs. I plan on using the Decision Tree Classifier, Logistic Regression, and RNN-LSTM with GloVe and NLTK to sort out the real stories from the fake ones.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Rifai, Hicham UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science P Language and Literature > P Philology. Linguistics > Computational linguistics. Natural language processing Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet > World Wide Web > Websites > Online social networks T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet > World Wide Web > Websites > Online social networks
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	25 May 2023 16:39
Last Modified:	25 May 2023 16:39
URI:	https://norma.ncirl.ie/id/eprint/6654

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