Fake news detection using machine learning
Material type:
TextDescription: MSC CS 2017-2019Subject(s): Dissertation note: MSC CS 2017-2019 INT
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
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Project Reports
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Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre | Non Fiction | Not for loan | R-1474 |
The explosive growth in fake news and its erosion to democracy, justice,
and public trust has increased the demand for fake news analysis, detection
and intervention.Fake news detection causes a challenging problem due to the
great in
uence of communication media over the public..The creditability of
information was dened by many words such as trustworthiness, believability,
reliability, accuracy, fairness, objectivity. The automatic fake news detection
systems enable identication of deceptive news.In this project we develop a
user friendly fake news detection model using various machine learning algorithms.popular
methods used in this model are Naive Bayes, Support Vector
Machine,logistic regression classier,Stochastic gradient desent.This model
that can accurately predict the likelihood that a given news is fake or not.
MSC CS 2017-2019 INT K Pradeep Kumar
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