PREDICTING UNWANTED USER IN SOCIAL COMMUNITIES USING MACHINE LEARNING TECHNIQUES









Abstract

This paper aims to predicting the online social network of people for finding their potentiality, finding fake information and reality. The work considers the famous social networking sites, Twitter, Face book, and LinkedIn, where people express their thoughts and ideas, through which the people in site knowingly or unknowingly reveal the information about themselves such as personal interests, comments, follow-ups, likes and dislikes. The Machine Learning technique addresses the work to date find data of a individual person to get his/her basic information profiling. This profiling is helpful to identify the personality type of a person and their original information, which is essential for finding the Government to identify people involved in spreading fake news in Social network communities. In this paper, introduce the new machine learning technique for finding their originality of the individual person who are all using the social networking community. Keywords: Machine Learning, Natural Language Processing, Online Social Network, Personality Test, Sentimental Analysis, Behavior Analysis, Survival analysis and Sliding window


Modules


Algorithms


Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL