Abstract:
SNA (Social Networking Application) offer great communication opportunities, they also increase
the vulnerability of young people to threatening situations online. Using textual social communication
some persons repeatedly use bully words and threats to other people and it is very difficult to detect
the bully content and block that person. Instant Messaging Tool for Cyberbullying Detection will
develop based on the intelligent agent, which can analyze the textual communication through
messenger and emit warnings about the bullying according to traffic signal colors using natural
language processing techniques. This Instant messaging tool will protect social network users from
these threats and support the community.
There are several techniques that we used to identify cyberbullying by machine learning, NLP (natural
language processing), text mining, supervised and unsupervised learning by classifying conversation,
comments, and posting, etc. By using NLP (natural language processing) we have to detect
cyberbullying by an instant messaging tool. The instant messaging tool is based on android mobile
application and by using this application detects slang words and give some warnings according to
the criteria.
1.2 References
None.
2. Overall Description
2.1 User Classes and Characteristic
