IRJET- Cyber Bullying Detection in Web Chat Application
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This document summarizes a research paper on detecting cyber bullying in web chat applications. The paper proposes developing a web application that can detect and censor abusive language used during employee chats. When employees chat or comment, the application would encrypt any bullying words rather than displaying them. It would include modules for admins to monitor employee tasks, meetings, statuses etc. and employee modules for chatting, contacting coworkers. The goal is to create a safer environment for online work communications by preventing cyber bullying between employees.
![International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 149
Cyber Bullying Detection in Web Chat Application
Muskan sheikh1, Prerana Lanjewar2, Shahu Atkari3, Mohit Sindhpure4, Omkar Dudhbure5
1,2,3,4Student, Dept. of Computer Engineering Manoharbhai Patel Institute of Engineering & Technology Shahapur,
Bhandara, India
5Assistant Professor, Dept. of Computer Engineering Manoharbhai Patel Institute of Engineering & Technology
Shahapur, Bhandara, India
----------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - : In today’s life, the effect of social media is
increasing popularly .cyber bullying has emerged as a critical
afflicting children, youngster’s and teenagers. System gaining
knowledge of strategies make automatic detection of bullying
messages in social media possible, and this may assist to
assemble a healthful and safe social media environment. One
critical issue in this significant research area is the reliable
and discriminative processing of text messages in numerical
representation. In this cyberbullyingisharassmentorbullying
executed through digital device like computers, laptops,
Smartphone and tablets. Cyber bullying can be defined as
belligerent, intentional actions performed by an individual or
a group of people via digital communication methods such as
sending messages and postingcommentsagainstavictim. This
paper, review Many companies will used this application for
chatting, email notification, group chatting and meeting also.
This web is helpful for people whois workoncompanybecause
many people use the abusing word or comment on post that
time ,this application doesn’t show abused word only show
there related symbols like asterisk, smallsquareboxetc. Inthis
web, when person start chatting with another person or
comment on post that time they cannot use abused words.
Key Words: Encryption algorithm, cloud computing, Back
propagation algorithm, cyber bullying, abuse word etc.
1. INTRODUCTION
Online life, as defined is in a gathering of Internet put
together applications that work with respect to the
ideological and innovative establishments of Web 2.0, and
that permit the creation and trade of client produced
content. By means of online networking, individuals can
appreciate gigantic data, advantageous correspondence
experience, etc. Be that as it may, internet based life may
have some symptoms, for example, cyberbullying, which
may impactly affect the life of individuals, particularly kids
and young people. Cyber bullying can be defined as forceful,
purposeful activities performed by an individual or a
gathering of individuals through computerized specialized
techniques, for example, sending messages and posting
remarks against an unfortunate casualty. Unique in relation
to conventional tormenting that typically happens at school
during up close and personal correspondence,cyberbullying
via web-based networking media can occur anyplace
whenever. For bullies, they are allowed to offend them on
the grounds that they do not have to confront anyone and
can take cover behind the Internet. For victims, they are
effectively presented to badgering since all of us, especially
youth, are always associated with the Internet or web based
life. The identical as conventional bullying,cyberbullyinghas
negative, insidious and sweeping influenceson children.The
outcomes for victims below cyberbullying might also be
tragic inclusive of the occurrence of self-injuriousbehaviour
or suicides. One way to cope with the cyber
bullying problem is to robotically stumble on and
promptly document bullying messages so
that right measures can be taken to save
you feasible tragedies. Previous works on
computational research of bullying
have proven that herbal language processing
and machine learning are effective gear to take a look
at bullying. In cyberbullying detection, the asterisk
representation for Internet messages should be robust and
discriminative. Since messages on social media are often
very short and contain a whole lot of casual language and
misspellings, robust representations for those messagesare
required to reduce their ambiguity. Cyber Bullying is the
harassment or bullying executed through digital device like
computers, laptops, Smartphone and tablets. Many
companies will used this application for chatting, email
notification, group chatting and meeting and also we detect
the abusive word that sends by the only employee to others
that we encrypt the textual content in asterisk or emoji or
good phrase. We develop a company outlook system. In this
there are modules Admin and Employee. There’s also some
sub modules of admin and worker such as task, contact,
meeting, status, chatting etc. Main isthatduringchattingand
status some employees send or use a bullying word so our
paintings are that encrypt that phrase. This is client to client
base system.
2. LITERATURE SURVEY
Cyberbullying has as a vital factor a afflicating kids,
adolescents, and teens in the literature study. Gaining
knowledge of tactics make it possible to quickly identify
abusive messages in social media, and tis can aid in creating
a healthy and sage atmosphere for social media. We study
that in companies cyberbullingcanbeusedbytryingtoscare
employee. IN In paper [10] the goal of their project is to
design computer software to detect the presence of
cyberbullying in online chat conversations.
In paper [2] proposed the content-based cyber bullying
discovery makes the program's discoveryof bullyingkneads](https://image.slidesharecdn.com/irjet-v7i230-201104101929/85/IRJET-Cyber-Bullying-Detection-in-Web-Chat-Application-1-320.jpg)
![International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 150
in social media conceivable and it would offer assistance to
construct and allow a solid and secure social media
environment. In this important inquiry about the region,the
strategy has executed a web-based application whichavoids
cyberbullying in different websites and applications for
messengers.
In paper [3] advances the state of the art in cyber bullying
detection beyond textual analysis to also consider the social
relationship in which these social relationships in which
these bullying messages are exchanged. Their results
indicate that social features are useful in detecting cyber
bullying. In effect, it suggests that understanding the social
context in which a message is exchanged is just as important
as the message itself. In future, similar approaches can be
applied over more fine grained data about human behavior
to identify cyber and physical social bullying in different
settings, thus paving the way for a safer environment for
bullied individuals in different social settings.
In paper [7] their proposed system based android chat
application utilized for chatting reason with remoteusersor
clients connected with the web, and it won't let the client
send unseemly messages. Their paper proposes the
component of making proficient talk application that won't
allow the client to send wrong or ill-advised messages to the
members.
In paper[8] describes the nation of technology foranalyzing
internet crime in opposition to children ,in particular sexual
predationand cyber bullying .Thissurveyincludesadialogue
of their work on category of chat log that contain bullying or
predatory behaviour.
3. PROPOSED SYSTEM
This web application provides different ways of
tracking and security that ultimately will improve
performance. Company can track employee’s performance
and keep monitoring them all the time. Chat application
available in this web application. In this web application we
are provide two modules such as admin module and
Employee module. In admin module different sub modules
are available such as save information, contact, task,
meeting, status and performance.
Fig -1: System Flow
And the different employee sub modules are available such
as chatting, meeting, contact, status and task. In existing
system that type of modulesarenotpresent.Thisapplication
is helpful for those people who is work on company because
many people use the abusing word or comment on post that
time ,this application doesn’t show abused word only show
there related symbols like asterisk , small square box etc. In
this application, when person start chatting with another
person or comment on post that time they cannot used
abused words. Many companieswill usedthisapplication for
chatting, email notification, group chatting and meeting and
also we detect the abusive word that sends by the only
employee to others that we encrypt the textual content in
asterisk. We develop a companyoutlook system.Inthisthere
are modules Admin and Employee. There's also some sub
modules of admin and worker such as task,contact,meeting,
status, chatting etc. Main is that during chatting and status
some employees send or use a bullying word so our
paintings are that encrypt that phrase. This is client to client
base system. Advantages of the projected system is the talk
application diminishes the efforts and time. Employees can
see each and every detail about project, task and respective
meetings .It is easy to used, safe and access by only
authorized person.
4. CONCLUSION
This application offers reliability, time saving and easy
control. The proposed system provides the new way of
computing and monitoring the operations with responsive
and attractive user interface.
5. REFERENCES
[1] A. M. Kaplan and M. Haenlein, “Users of the world,unite!
the challenges and opportunities of social media,”
Business horizons, vol. 53, no. 1, pp. 59–68, 2010.M.
Young, The Technical Writer’s Handbook. Mill Valley,
CA: University Science, 1989.
[2] Sowparnika shree N, Shalini N, Sushma Reddy A,,Rohini
R T, Shiva Kumar Naik” TEXT BASED CYBERBULLYING
DETECTION”.
[3] Q. Huang, V. K. Singh, and P. K. Atrey, “Cyber bullying
detection using social and textual analysis,” in
Proceedings of the 3rd International Workshop on
Socially-Aware Multimedia. ACM, 2014, pp. 3–6.
[4] Modeling the Detection of Textual Cyberbullying K
Dinakar, R.Reichart, and H.Liebeman,”Modeling the
detection of textual cyberbullying.” inTheSocial Mobile.
[5] M. Dadvar, D. Trieschnigg, R. Ordelman, and F. de Jong,
“Improving cyberbullying detection withusercontext,”
in Advances in InformationRetrieval.Springer,2013,pp.
693–696.](https://image.slidesharecdn.com/irjet-v7i230-201104101929/85/IRJET-Cyber-Bullying-Detection-in-Web-Chat-Application-2-320.jpg)
![International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 151
[6] “Chatting ApplicationwithReal TimeTranslation”Nikhil
Chaudhari, Sushma Shinkar, Priyanka Pagare may-
2018.
[7] “Professional chatapplicationbasedonnatural language
processing” S.Kartick, R.John Victor, S Manikandan,
Bhargavi Goswami.
[8] A. Kontostathis, L. Edwards, and A. Leatherman, “Text
Mining And Cybercrime,” Text Mining: ApplicationsAnd
Theory. John Wiley & Sons, Ltd, Chichester, Uk, 2010.
[9] J.M. Xu, K.-S. Jun, X. Zhu, and A. Bellmore, “Learningfrom
bullying traces in social media,” in Proceedings of the
2012 conference of the North American chapter of the
association for computational linguistics: Human
language technologies. Association for Computational
Linguistics, 2012, pp. 656–666.
[10] J. Bayzick, A. Kontostathis, And L. Edwards, “Detecting
The Presence Of Cyberbullying Using Computer
Software,” In Proceedings Of The Acm Websci’11.
Koblenz, Germany: Acm, June 2011, Pp. 1–2.](https://image.slidesharecdn.com/irjet-v7i230-201104101929/85/IRJET-Cyber-Bullying-Detection-in-Web-Chat-Application-3-320.jpg)
IRJET- Cyber Bullying Detection in Web Chat Application
- 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 149 Cyber Bullying Detection in Web Chat Application Muskan sheikh1, Prerana Lanjewar2, Shahu Atkari3, Mohit Sindhpure4, Omkar Dudhbure5 1,2,3,4Student, Dept. of Computer Engineering Manoharbhai Patel Institute of Engineering & Technology Shahapur, Bhandara, India 5Assistant Professor, Dept. of Computer Engineering Manoharbhai Patel Institute of Engineering & Technology Shahapur, Bhandara, India ----------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - : In today’s life, the effect of social media is increasing popularly .cyber bullying has emerged as a critical afflicting children, youngster’s and teenagers. System gaining knowledge of strategies make automatic detection of bullying messages in social media possible, and this may assist to assemble a healthful and safe social media environment. One critical issue in this significant research area is the reliable and discriminative processing of text messages in numerical representation. In this cyberbullyingisharassmentorbullying executed through digital device like computers, laptops, Smartphone and tablets. Cyber bullying can be defined as belligerent, intentional actions performed by an individual or a group of people via digital communication methods such as sending messages and postingcommentsagainstavictim. This paper, review Many companies will used this application for chatting, email notification, group chatting and meeting also. This web is helpful for people whois workoncompanybecause many people use the abusing word or comment on post that time ,this application doesn’t show abused word only show there related symbols like asterisk, smallsquareboxetc. Inthis web, when person start chatting with another person or comment on post that time they cannot use abused words. Key Words: Encryption algorithm, cloud computing, Back propagation algorithm, cyber bullying, abuse word etc. 1. INTRODUCTION Online life, as defined is in a gathering of Internet put together applications that work with respect to the ideological and innovative establishments of Web 2.0, and that permit the creation and trade of client produced content. By means of online networking, individuals can appreciate gigantic data, advantageous correspondence experience, etc. Be that as it may, internet based life may have some symptoms, for example, cyberbullying, which may impactly affect the life of individuals, particularly kids and young people. Cyber bullying can be defined as forceful, purposeful activities performed by an individual or a gathering of individuals through computerized specialized techniques, for example, sending messages and posting remarks against an unfortunate casualty. Unique in relation to conventional tormenting that typically happens at school during up close and personal correspondence,cyberbullying via web-based networking media can occur anyplace whenever. For bullies, they are allowed to offend them on the grounds that they do not have to confront anyone and can take cover behind the Internet. For victims, they are effectively presented to badgering since all of us, especially youth, are always associated with the Internet or web based life. The identical as conventional bullying,cyberbullyinghas negative, insidious and sweeping influenceson children.The outcomes for victims below cyberbullying might also be tragic inclusive of the occurrence of self-injuriousbehaviour or suicides. One way to cope with the cyber bullying problem is to robotically stumble on and promptly document bullying messages so that right measures can be taken to save you feasible tragedies. Previous works on computational research of bullying have proven that herbal language processing and machine learning are effective gear to take a look at bullying. In cyberbullying detection, the asterisk representation for Internet messages should be robust and discriminative. Since messages on social media are often very short and contain a whole lot of casual language and misspellings, robust representations for those messagesare required to reduce their ambiguity. Cyber Bullying is the harassment or bullying executed through digital device like computers, laptops, Smartphone and tablets. Many companies will used this application for chatting, email notification, group chatting and meeting and also we detect the abusive word that sends by the only employee to others that we encrypt the textual content in asterisk or emoji or good phrase. We develop a company outlook system. In this there are modules Admin and Employee. There’s also some sub modules of admin and worker such as task, contact, meeting, status, chatting etc. Main isthatduringchattingand status some employees send or use a bullying word so our paintings are that encrypt that phrase. This is client to client base system. 2. LITERATURE SURVEY Cyberbullying has as a vital factor a afflicating kids, adolescents, and teens in the literature study. Gaining knowledge of tactics make it possible to quickly identify abusive messages in social media, and tis can aid in creating a healthy and sage atmosphere for social media. We study that in companies cyberbullingcanbeusedbytryingtoscare employee. IN In paper [10] the goal of their project is to design computer software to detect the presence of cyberbullying in online chat conversations. In paper [2] proposed the content-based cyber bullying discovery makes the program's discoveryof bullyingkneads
- 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 150 in social media conceivable and it would offer assistance to construct and allow a solid and secure social media environment. In this important inquiry about the region,the strategy has executed a web-based application whichavoids cyberbullying in different websites and applications for messengers. In paper [3] advances the state of the art in cyber bullying detection beyond textual analysis to also consider the social relationship in which these social relationships in which these bullying messages are exchanged. Their results indicate that social features are useful in detecting cyber bullying. In effect, it suggests that understanding the social context in which a message is exchanged is just as important as the message itself. In future, similar approaches can be applied over more fine grained data about human behavior to identify cyber and physical social bullying in different settings, thus paving the way for a safer environment for bullied individuals in different social settings. In paper [7] their proposed system based android chat application utilized for chatting reason with remoteusersor clients connected with the web, and it won't let the client send unseemly messages. Their paper proposes the component of making proficient talk application that won't allow the client to send wrong or ill-advised messages to the members. In paper[8] describes the nation of technology foranalyzing internet crime in opposition to children ,in particular sexual predationand cyber bullying .Thissurveyincludesadialogue of their work on category of chat log that contain bullying or predatory behaviour. 3. PROPOSED SYSTEM This web application provides different ways of tracking and security that ultimately will improve performance. Company can track employee’s performance and keep monitoring them all the time. Chat application available in this web application. In this web application we are provide two modules such as admin module and Employee module. In admin module different sub modules are available such as save information, contact, task, meeting, status and performance. Fig -1: System Flow And the different employee sub modules are available such as chatting, meeting, contact, status and task. In existing system that type of modulesarenotpresent.Thisapplication is helpful for those people who is work on company because many people use the abusing word or comment on post that time ,this application doesn’t show abused word only show there related symbols like asterisk , small square box etc. In this application, when person start chatting with another person or comment on post that time they cannot used abused words. Many companieswill usedthisapplication for chatting, email notification, group chatting and meeting and also we detect the abusive word that sends by the only employee to others that we encrypt the textual content in asterisk. We develop a companyoutlook system.Inthisthere are modules Admin and Employee. There's also some sub modules of admin and worker such as task,contact,meeting, status, chatting etc. Main is that during chatting and status some employees send or use a bullying word so our paintings are that encrypt that phrase. This is client to client base system. Advantages of the projected system is the talk application diminishes the efforts and time. Employees can see each and every detail about project, task and respective meetings .It is easy to used, safe and access by only authorized person. 4. CONCLUSION This application offers reliability, time saving and easy control. The proposed system provides the new way of computing and monitoring the operations with responsive and attractive user interface. 5. REFERENCES [1] A. M. Kaplan and M. Haenlein, “Users of the world,unite! the challenges and opportunities of social media,” Business horizons, vol. 53, no. 1, pp. 59–68, 2010.M. Young, The Technical Writer’s Handbook. Mill Valley, CA: University Science, 1989. [2] Sowparnika shree N, Shalini N, Sushma Reddy A,,Rohini R T, Shiva Kumar Naik” TEXT BASED CYBERBULLYING DETECTION”. [3] Q. Huang, V. K. Singh, and P. K. Atrey, “Cyber bullying detection using social and textual analysis,” in Proceedings of the 3rd International Workshop on Socially-Aware Multimedia. ACM, 2014, pp. 3–6. [4] Modeling the Detection of Textual Cyberbullying K Dinakar, R.Reichart, and H.Liebeman,”Modeling the detection of textual cyberbullying.” inTheSocial Mobile. [5] M. Dadvar, D. Trieschnigg, R. Ordelman, and F. de Jong, “Improving cyberbullying detection withusercontext,” in Advances in InformationRetrieval.Springer,2013,pp. 693–696.
- 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 151 [6] “Chatting ApplicationwithReal TimeTranslation”Nikhil Chaudhari, Sushma Shinkar, Priyanka Pagare may- 2018. [7] “Professional chatapplicationbasedonnatural language processing” S.Kartick, R.John Victor, S Manikandan, Bhargavi Goswami. [8] A. Kontostathis, L. Edwards, and A. Leatherman, “Text Mining And Cybercrime,” Text Mining: ApplicationsAnd Theory. John Wiley & Sons, Ltd, Chichester, Uk, 2010. [9] J.M. Xu, K.-S. Jun, X. Zhu, and A. Bellmore, “Learningfrom bullying traces in social media,” in Proceedings of the 2012 conference of the North American chapter of the association for computational linguistics: Human language technologies. Association for Computational Linguistics, 2012, pp. 656–666. [10] J. Bayzick, A. Kontostathis, And L. Edwards, “Detecting The Presence Of Cyberbullying Using Computer Software,” In Proceedings Of The Acm Websci’11. Koblenz, Germany: Acm, June 2011, Pp. 1–2.