Fake news detection using machine learning (Record no. 6470)

MARC details
000 -LEADER
fixed length control field 01410nam a22002057a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220107122849.0
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fixed length control field 190614b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency IIITMK
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Amjada Fathima (93617004)
9 (RLIN) 15744
245 ## - TITLE STATEMENT
Title Fake news detection using machine learning
300 ## - PHYSICAL DESCRIPTION
Extent MSC CS 2017-2019
500 ## - GENERAL NOTE
General note The explosive growth in fake news and its erosion to democracy, justice,<br/>and public trust has increased the demand for fake news analysis, detection<br/>and intervention.Fake news detection causes a challenging problem due to the<br/>great in<br/>uence of communication media over the public..The creditability of<br/>information was dened by many words such as trustworthiness, believability,<br/>reliability, accuracy, fairness, objectivity. The automatic fake news detection<br/>systems enable identication of deceptive news.In this project we develop a<br/>user friendly fake news detection model using various machine learning algorithms.popular<br/>methods used in this model are Naive Bayes, Support Vector<br/>Machine,logistic regression classier,Stochastic gradient desent.This model<br/>that can accurately predict the likelihood that a given news is fake or not.
502 ## - DISSERTATION NOTE
Degree type MSC CS
Name of granting institution 2017-2019
Year degree granted INT
-- K Pradeep Kumar
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MACHINE LEARNING
9 (RLIN) 15745
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element FAKE NEWS DETECTION
9 (RLIN) 15746
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element NAIVE BAYES
9 (RLIN) 15747
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element SUPPORT VECTOR MACHINE
9 (RLIN) 15748
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Non Fiction IIITM-K Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre   14/06/2019   R-1474 14/06/2019 14/06/2019 Project Reports