A
SEMINAR REPORT ON
“Fake News Detection”
SUBMITTED TO THE SAVITRIBAI PHULE PUNE UNIVERSITY IN THE
PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF
THE DEGREE
OF
THIRD YEAR OF ENGINEERING
(COMPUTER ENGINEERING)
SUBMITTED BY
Mr/Mrs. Prafulla Balkrishna Dhobale Exam No. S191044234
UNDER THE GUIDANCE OF
Prof. Mrs.Swapnaja Rajesh Hiray
DEPARTMENT OF COMPUTER ENGINEERING
SKN SINHGAD INSTITUTE OF TECHNOLOGY AND SCIENCE,
LONAVALA-410401
Savitribai Phule Pune University, Pune
2020-21
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DEPARTMENT OF COMPUTER ENGINEERING
SKN SINHGAD INSTITUTE OF TECHNOLOGY AND SCIENCE,
LONAVALA-410401
CERTIFICATE
This is to certify that the Mini Project report entitle
“Fake News Detection”
Submitted by
Mr/Mrs. Prafulla Balkrishna Dhobale Exam No: S191044234
is a bonafide work carried out by him/her under the supervision of
Prof. Mrs.Swapnaja Rajesh Hiray and it is submitted towards the fulfillment of the
requirement of Savitribai Phule Pune University, for the award of the degree of Third
year of Engineering (Computer Engineering).
Prof. Mrs.Swapnaja Rajesh Hiray Prof. G.M.Kadam
Guide Head,
Department of Computer Engineering Department of Computer Engineering
Dr. M.S. Rohokale
Principal,
SKN Sinhgad Institute of Technology & Science, Pune – 48
Place : Lonavala
Date :
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ACKNOWLEDGEMENT
I would like to thank Prof. Mrs.Swapnaja Rajesh Hiray for helping me out in
selecting the topic and contents, giving valuable suggestions in preparation of Seminar
report and presentation.
I am grateful to Prof. G.M.Kadam, Head of Computer Department, for
providing healthy environment and facilities in the department. He allowed us to raise
our concern and worked to solve it by extending his co-operation time to time.
Goal makes us to do work. Vision is more important than goal which makes us
to do work in the best way to make work equally the best. Thanks to Principal, Dr.
M.S. Rohokale for his support and vision.
Consistent achievement requires boost on consistent interval basis.
Management has given full support and boosted us to be consistent and achieve the
target. Thanks to management for their support.
Thanks to all the colleagues for their extended support and valuable guidance.I
would like to be grateful to all my friends for their consistent support, help and
guidance.
Prafulla Balkrishna Dhobale
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ABSTRACT
The rise of Fake news has caught the attention of various research groups. Its
prevalence has increased due to the evolution of social media platforms and the
increasing number of fake news outlets.
We propose a system for detecting fake news through machine learning techniques.
We use term frequencyinverse document frequency (TF-IDF) and support vector
machine (SVM) to extract features from n-grams and word samples.
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CONTENTS
ACKNOWLEDGEMENT I
LIST OF ABBREVIATIONS II
LIST OF FIGURES III
LIST OF TABLES IV
ABSTRACT V
INDEX
CHAPTE PAGE
NAME OF CHAPTER
R NO. NO.
1 INTRODUCTION
1.1 SEMINAR IDEA
1.2 MOTIVATION OF THE SEMINAR
1.3 LITERATURE SURVEY
2 PROBLEM DEFINITION & SCOPE
2.1 PROBLEM STATEMENT
2.2 GOALS AND OBJECTIVES
2.3 STATEMENT OF SCOPE
2.4 SOFTWARE CONTEXT
:
:
:
:
<Rest of the chapter should be get added according
:
to Seminar Topic>
:
:
FUTURE ENHANCEMENT
SUMMARY AND CONCLUSIONS
REFERENCES
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LIST OF FIGURES
FIGURE NO. ILLUSTRATION PAGE NO.
6
LIST OF ABBREVATIONS
ABBREVIATIONS ILLUSTRATION
7
LIST OF TABLES
TABLE NO. ILLUSTRATION PAGE NO.