DETECTING CYBER DEFAMATION IN SOCIAL NETWORK USING MACHINE LEARNING

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

DETECTING CYBER DEFAMATION IN SOCIAL NETWORK USING MACHINE LEARNING
Author(s):
Kowsalya Devi.V
Keywords:
Detecting Cyber Defamation, Machine Learning, Naive Bayes algorithm.
Abstract
Cyber Defamation is the process of sending wrong messages to a person or community which causes heated debate with users. Cyber defamation is mostly seen in social networking sites where users reply to post with bullying words to threaten or insult other users. Cyber defamation is considered a misuse of technology. According to the newest survey done on all over the world data day by day, cases are enlarge on cyberbullying. In order to solve this problem many natural language processing techniques are prefer by various authors which are time taking and not automatic. With the advancement of machine learning and artificial intelligence, models can be manufacture and automatic detection can be executed. To show this scenario live social media application is developed in python programming with and the Naive Bayes algorithm is used to train the model on a Social Media dataset and using this model live detection of cyberbullying is predicted and alert messages are shown on the application.
Article Details
Unique Paper ID: 150852 Publication Volume & Issue: Volume 7, Issue 10 Page(s): 211 - 214
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