000			01410nam a22002057a 4500
003			OSt
005			20220107122849.0
008			190614b xxu||||| |||| 00| 0 eng d
040			_cIIITMK
100			_aAmjada Fathima (93617004) _915744
245			_aFake news detection using machine learning
300			_aMSC CS 2017-2019
500			_aThe 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.
502			_bMSC CS _c2017-2019 _dINT _eK Pradeep Kumar
650			_aMACHINE LEARNING _915745
650			_aFAKE NEWS DETECTION _915746
650			_aNAIVE BAYES _915747
650			_aSUPPORT VECTOR MACHINE _915748
942			_2ddc _cPR
999			_c6470 _d6470