Smart Campus

Abstract

We evaluate the feasibility of using Facebook data to enhance the effectiveness of a recruitment system, especially for résumé verification and recognize the personality by using social network analysis methods. In the industries employee’s personality is very important in the workplace which will help to growth of the company and give more good service to the client. Currently resume verification is based on trustful third parties who does background verification. Based on this report is sent to the company who is hiring the employee decides to keep employee or not. This manual system usually takes lots of time and this system generally wont display candidates’ nature towards society (in short how he behaves in society weather he posts something wrong on social media in simple words his/her personality). Social media now a days is huge platform where user generally spends too much time on social media like Facebook, LinkedIn etc. like posting a page, commenting, liking the post, certification uploading, adding friends. We are going to design such a system that verifies genuineness of user by scraping or exploring data from Facebook or LinkedIn or both. we are exploring post of person and classifies it into is it technology related, violence related and many more what are the comments he gives on his post how he reacts his language of handling a query will be parsed and classified using machine learning algorithm of previously trained dataset using SVM. And at the end we will show this information to the company to make their own decision based on this result.