Web Crawler for Social Network User Data Prediction Using Soft Computing Methods

Abstract

This paper addresses how elementary data from a public user profile in Instagram can be scraped and loaded into a database without any consent. Furthermore, discusses how soft computing methods such neural networks can be used to determine the popularity of a user’s post. Conclusively, raises questions about user’s privacy and how tools like this can be used for better or for worse.

Keywords: Social Network, Instagram, Business Intelligence, Soft Computing, Neural Network, User Privacy, ETL, Database, Node.js, Data Analysis