IRJET- Cyber Bullying Detection in Web Chat Application

International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 07 Issue: 02 | Feb 2020

p-ISSN: 2395-0072

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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 cyber bullying is harassment or bullying 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 posting comments against a victim. This paper, review Many companies will used this application for chatting, email notification, group chatting and meeting also.

This web is helpful for 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 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 © 2020, IRJET

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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, cyberbullying has negative, insidious and sweeping influences on children. The outcomes for victims below cyberbullying might also be tragic inclusive of the occurrence of self-injurious behaviour 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 messages are 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 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.

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 cyberbulling can be used by trying to scare 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 discovery of bullying kneads

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 07 Issue: 02 | Feb 2020

p-ISSN: 2395-0072

www.irjet.net

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 which avoids 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 remote users or 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 for analyzing internet crime in opposition to children ,in particular sexual predation and cyber bullying .This survey includes a dialogue of their work on category of chat log that contain bullying or predatory behaviour.

And the different employee sub modules are available such as chatting, meeting, contact, status and task. In existing system that type of modules are not present. This application 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 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. 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 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

3. PROPOSED SYSTEM

[1]

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.

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.” in The Social Mobile .

[5]

M. Dadvar, D. Trieschnigg, R. Ordelman, and F. de Jong, “Improving cyberbullying detection with user context,” in Advances in Information Retrieval. Springer, 2013, pp.

693–696.

Fig -1: System Flow © 2020, IRJET

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 07 Issue: 02 | Feb 2020

p-ISSN: 2395-0072

www.irjet.net

[6]

“Chatting Application with Real Time Translation” Nikhil Chaudhari, Sushma Shinkar, Priyanka Pagare may2018.

[7]

“Professional chat application based on natural 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: Applications And Theory. John Wiley & Sons, Ltd, Chichester, Uk, 2010.

[9]

J.M. Xu, K.-S. Jun, X. Zhu, and A. Bellmore, “Learning from 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.

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