Table Of ContentLecture Notes in Networks and Systems 521
Lalit Garg · Dilip Singh Sisodia ·
Nishtha Kesswani · Joseph G Vella ·
Imene Brigui · Peter Xuereb ·
Sanjay Misra · Deepak Singh Editors
Information
Systems and
Management
Science
Conference Proceedings of
4th International Conference
on Information Systems and
Management Science (ISMS) 2021
Lecture Notes in Networks and Systems
Volume 521
Series Editor
Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences,
Warsaw, Poland
Advisory Editors
Fernando Gomide, Department of Computer Engineering and Automation—DCA,
SchoolofElectricalandComputerEngineering—FEEC,UniversityofCampinas—
UNICAMP, São Paulo, Brazil
Okyay Kaynak, Department of Electrical and Electronic Engineering,
Bogazici University, Istanbul, Turkey
Derong Liu, Department of Electrical and Computer Engineering, University
of Illinois at Chicago, Chicago, USA
Institute of Automation, Chinese Academy of Sciences, Beijing, China
WitoldPedrycz,DepartmentofElectricalandComputerEngineering,Universityof
Alberta, Alberta, Canada
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Marios M. Polycarpou, Department of Electrical and Computer Engineering,
KIOSResearchCenterforIntelligentSystemsandNetworks,UniversityofCyprus,
Nicosia, Cyprus
Imre J. Rudas, Óbuda University, Budapest, Hungary
Jun Wang, Department of Computer Science, City University of Hong Kong,
Kowloon, Hong Kong
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Lalit Garg Dilip Singh Sisodia
(cid:129) (cid:129)
Nishtha Kesswani Joseph G Vella
(cid:129) (cid:129)
Imene Brigui Peter Xuereb
(cid:129) (cid:129)
Sanjay Misra Deepak Singh
(cid:129)
Editors
Information Systems
and Management Science
Conference Proceedings of 4th International
Conference on Information Systems
and Management Science (ISMS) 2021
123
Editors
Lalit Garg Dilip SinghSisodia
Department ofComputer Information Computer Science andEngineering
Systems National Institute ofTechnology
University of Malta Chhatisgarh, India
Msida,Malta
JosephGVella
NishthaKesswani Computer Information Systems Department
Central University of Rajasthan University of Malta
Ajmer, Rajasthan, India Msida,Malta
Imene Brigui PeterXuereb
EMLYON Business School Faculty of Information andCommunication
Écully,France Technology
University of Malta
SanjayMisra Msida,Malta
Department ofComputer Scienceand
Communication Deepak Singh
Ostfold University Computer Science andEngineering
Halden,Norway National Institute ofTechnology
Chhattisgarh, India
ISSN 2367-3370 ISSN 2367-3389 (electronic)
Lecture Notesin Networks andSystems
ISBN978-3-031-13149-3 ISBN978-3-031-13150-9 (eBook)
https://doi.org/10.1007/978-3-031-13150-9
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Contents
The Sentiment Analysis for Hindi Language Using Convolution
Neural Network and Deep Belief Network . . . . . . . . . . . . . . . . . . . . . . . 1
Manish Rao Ghatge and Snehlata Barde
An Empirical Review on Brain Tumor Classification Approaches . . . . . 15
Mutkule Prasad Raghunath and B. Ankayarkanni
ObstacleFindingandPathPlanningofUnmannedVehiclebyHybrid
Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
Varsha Dubey, Snehlata Barde, and Brijesh Patel
Simulation of Internet of Things Network for Big Data Analytics . . . . . 37
B. C. Manujakshi, K. B. Ramesh, Lalit Garg, and T. M. Shashidhar
Mirai Botnet Attacks on IoT Applications: Challenges and Controls. . . 49
G. Sripriyanka and Anand Mahendran
Machine Learning for Recognition and Classification of Visual Art
Architecture: A Survey . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68
Amita Sharma and R. S. Jadon
Technology Aspects of Artificial Intelligence: Industry 5.0 for
Organization Decision Making . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79
Aditi Chandel and Bhisham Sharma
Dress Pattern Classification Using ResNet Based Convolutional
Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91
Manpinder Singh, Saiba Dalmia, Ranjeet Kumar Ranjan, and Amit Singh
An Efficient MR Images Based Analysis to Predict Alzheimer's
Dementia Stage Using Random Forest Classifier . . . . . . . . . . . . . . . . . . 104
Venkatesh Gauri Shankar, Dilip Singh Sisodia, and Preeti Chandrakar
v
vi Contents
EMG Pattern Recognition: A Systematic Review. . . . . . . . . . . . . . . . . . 120
Sushama Dhumal and Prashant Sharma
Image Generation Using GPT-2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131
Rushikesh Pupale, Adarsh Shrivastava, and Pradeep Singh
LightMobileNetV2: A Lightweight Model for the Classification of
COVID-19 Using Chest X-Ray Images. . . . . . . . . . . . . . . . . . . . . . . . . . 142
Shankey Garg and Pradeep Singh
Intention to Adopt E-Grocery Shopping Service in Vietnam During
Covid-19 Pandemic. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151
Cuong Quoc Nguyen, Hang Thuy Truong, and Anh Minh Tu Nguyen
Optimizing the Compressive Strength of Concrete with Altered
Compositions Using Hybrid PSO-ANN . . . . . . . . . . . . . . . . . . . . . . . . . 163
Raunaq Singh Suri, Vikrant Dubey, Nishant Raj Kapoor, Aman Kumar,
and Megha Bhushan
Adaptive Strategies for Multicriteria Auctions: An Empirical Study . . . 174
Imène Brigui, Philippe Caillou, and Suzanne Pinson
Crowd ManagementSystem BasedonHybridCombinationofLSTM
and CNN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185
Neeraj Kumar Sharma, G. V. Arun Krishna, V. Bharath Kumar,
T. Sai Praveen Kumar, C. H. Rakesh, and Ram Chandra Reddy
Facial Liveness Detection in Biometrics: A Multivocal Literature
Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195
Kikelomo A. Omotoye, Sanjay Misra, Manju Kaushik,
Roseline Ogundokun, and Lalit Garg
An Innovative User Authentication Method: Replacements of Text
Based Passwords . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210
Varun Shukla, Shivani Dixit, Ravi Kumar, and Manish Patidar
Analysis and Survey of Soil Moisture Prediction Techniques for
Agricultural Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225
Seema J. Patil and B. Ankayarkanni
LSTM Based Advanced Fake News Detection . . . . . . . . . . . . . . . . . . . . 242
Aditya, Vikas Sihag, and Gaurav Choudhary
HTL-DP: Homogeneous Transfer Learning for Defect Prediction . . . . . 257
Meetesh Nevendra and Pradeep Singh
Development of a Chi-Square Approach for Classifying Ischemic
Stroke Prediction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268
MichealOlaoluArowolo,VictorAshemAkubor,SanjayMisra,LalitGarg,
Marion Olubunmi Adebiyi, and Joseph Bamidele Awotunde
Contents vii
Anomaly Detection for Industrial Control Networks Using Hamming
Distance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280
Rajneesh Kumar Pandey and Tanmoy Kanti Das
AWeb-BasedInstantMessagingSystemforEffectiveCommunication
Among Organic Farmers and Researchers. . . . . . . . . . . . . . . . . . . . . . . 291
Oluwasefunmi Arogundade, Aderonke Sakpere, Sanjay Misra,
Christianah Alonge, Lalit Garg, Adebayo Abayomi-Alli,
and Oluwaseyi Bello
Machine Learning Approaches for Classifying the Peace-War
Orientations of Global News Organizations’ Social Media Posts . . . . . . 301
Ada Peter, Rose Omole, Sanjay Misra, Lalit Garg,
and Jonathan Oluranti
Application of Block Chain Technology by Aggregators in Complex
Supply Chains . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 318
Sudhendar Hanumantha Rao and Sreedhar Matam
ATM Security System Using Gesture and Hand Vein Recognition. . . . . 330
Yashika Kuckian, Neha Bharambe, Adishree Sane, and Easther Masih
Effect of Entrepreneurial Education on Entrepreneurial Intention:
Mediating Role of Entrepreneurs Personality Traits . . . . . . . . . . . . . . . 342
Bhawna Chahar
DeconstructiveHumanConfrontAcknowledgmentUtilizingProfound
Neural Arrange . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 365
Ratnesh Kumar Dubey and Dilip Kumar Choubey
MoRec: User’s Definition Inspired Analytical Approach for Movie
Recommendation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 381
Padmini Yadav, Venkatesh Gauri Shankar, Bali Devi, Neha V. Sharma,
and Anmol Srivastava
Design and Implementation of Secure Location Service Using
Software Engineering Approach in the Age of Industry 4.0. . . . . . . . . . 397
Sumaiah Tabassum, Adarsh Kumar, Kamalpreet Kaur, Priyansh Arora,
Deepraj Chowdhury, Sanjay Misra, and Sukhpal Singh Gill
Deep Learning Based Architecture for Entity Extraction from Covid
Related Documents. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 419
Sushil Kumar, Avantika Sahu, and Aditi Sharan
Data Sampling Methods for Analyzing Publishers Conduct from
Highly Imbalanced Dataset in Web Advertising. . . . . . . . . . . . . . . . . . . 428
Deepti Sisodia and Dilip Singh Sisodia
viii Contents
Analysis of the Effect of Feature Selection and Class Balancing
Methods with Supervised Algorithms in Web Robot Detection
Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 442
Rikhi Ram Jagat, Dilip Singh Sisodia, and Pradeep Singh
A Random Forest-Based Ensemble Technique for
Malware Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 454
Lalit Kumar Vashishtha, Kakali Chatterjee, Santosh Kumar Sahu,
and Durga Prasad Mohapatra
Futuristic Approach for Intelligent Cognitive Radio Using Different
Machine Learning Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 464
Megha Motta, Partha Sarathy Banerjee, and Deepak Sharma
Novel Techniques for Analysing Satellite Imagery Data. . . . . . . . . . . . . 477
Uttam Banik and Lalit Garg
Identification of Hotspot of Rape Cases in NCT of Delhi: A Data
Science Perspective. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 485
G. Venkata Manish, Simran, Jitendra Kumar, and Dilip Kumar Choubey
Survey on Fruit Classification Using Deep Learning Techniques . . . . . . 497
Surya Petluru and Pradeep Singh
Digital Twin in Industry 4.0 A Real-Time Virtual Replica of Objects
Improves Digital Health Monitoring System . . . . . . . . . . . . . . . . . . . . . 506
Prabhanjan Chaudhari, Chaitali Gangane, and Akshay Lahe
Cyber Security Intruder Detection Using Deep Learning Approach . . . 518
Tariqul Islam, Md. Mosfikur Rahman, Md. Ismail Jabiullah,
and Mohd. Saifuzzaman
Android Malware Detection Using Ensemble Feature Learning. . . . . . . 531
Siddhartha Suman Rout, Lalit Kumar Vashishtha, Kakali Chatterjee,
and Jitendra Kumar Rout
Multiclass-Based Support Vector Machine for Parkinson’s Disease
Detection on Speech Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 540
Bali Devi, Sumit Srivastava, and Vivek Kumar Verma
Automated Journalism Based on Sports Analysis. . . . . . . . . . . . . . . . . . 558
Eeshan Nanekar, Siddhant Nalawade, Zenden Castelino,
and Smita Rukhande
Brain Hemorrhage Detection Using Deep Learning: Convolutional
Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 565
Nipun R. Navadia, Gurleen Kaur, and Harshit Bhardwaj
An Approach for Theft Detection and Alerting System . . . . . . . . . . . . . 571
B. C. Manujakshi, K. B. Ramesh, Lalit Garg, and T. M. Shashidhar
Author Index.. .... .... .... ..... .... .... .... .... .... ..... .... 579
The Sentiment Analysis for Hindi Language
Using Convolution Neural Network and Deep
Belief Network
B
ManishRaoGhatge( )andSnehlataBarde
MATSUniversity,492004Raipur,India
[email protected], [email protected]
Abstract. Itissimpleforpeopletosharetheirideas,feelingsandthoughtsonthe
widespreadsocialmedianetwork.Thechangesintechnologyandthecreationof
socialplatformshaveallowedindividualstoexpresstheirideasbothintheEnglish
languageandinthemothertongueforsuchplatformsasHindi,Marathietc.These
are good, negative and neutral ideas. These phrases function as a reservoir of
informationthatmaybeusedtoobtainknowledge.Intheanalysisofsentiment
fromregionallanguagesuchasHindi,studybecomesvitalandmotivating.The
goal is therefore to utilize Neural Networks (NNs) to analyses the feelings of
Hindiwords.TheMachineLearning(ML)modelwillbeformedandcompared
withtheuseofDeepBeliefNetwork(DBN),ConvolutionNeuralNetwork(CNN)
andLongShortTimeMemory(LSTM)toorganizethedataintoconstructiveand
undesirablefeelingsinHindi.
Keywords: CNN·DBN·LSTM·ML·NNs·Sentimentanalysis
1 Introduction
Due to the fast expansion of information technology, the Internet has become a vital
aspectofpeople’slives.Mostindividualsexchangeviewsaboutvariousentitiessuchas
products, service on various platforms such as blogs, and on other social online sites.
Thesesitesincludesignificantdatafrombusinesstopoliticalandsocietalapplications
onarangeoffields[1].Itistoughtomanuallyanalyze thislargevolume ofdata.SA
was highly beneficial in this situation. Basically, it gets a sense of how you feel and
how you communicate. SA is becoming a prominent issue in the Natural Language
Processing(NLP)area.Theaimistoextractsubjectiveinformationthatistransmitted
byatranscriptautomatically.Itshelterstheextractionofthesplitortheidentification
ofthetargetoropinionholder.Thefunction,sentence,anddocumentlevelcanbeused
fortheSA.Inmanyotherapplications,SAisused,forexample,toanticipateconsumer
patterns, marketing plans and stock market predictions, teacher training and learning
[2].OneofthekeyrequestsmadebySAistohelppoliticalpartiesorthegovernment
obtainsasenseofhowmuchtheycanwinintheupcoming elections,andhowhappy
thecommunitystayswiththeguidelinestheyforecastinthe2016USelection.
©TheAuthor(s),underexclusivelicensetoSpringerNatureSwitzerlandAG2023
L.Gargetal.(Eds.):ISMS2021,LNNS521,pp.1–14,2023.
https://doi.org/10.1007/978-3-031-13150-9_1
