Social Media Analysis and Scheduling

Authors

  • Minakshi Chilme Computer Engineering, International Institute of Information Technology, Pune University
  • Radha Yelikar Computer Engineering, International Institute of Information Technology, Pune University
  • Eshwari Bhujbal Computer Engineering, International Institute of Information Technology, Pune University
  • Pearl Swaminathan Computer Engineering, International Institute of Information Technology, Pune University
  • Prof. Sandeep Patil Computer Engineering, International Institute of Information Technology, Pune University

Keywords:

Digital Marketing, Social Media, Classification, Cluster Analysis

Abstract

The project is based on an observation made in the most growing field of Digital Marketing
(Social Media). The aim of this project is to create a one-stop solution to all social media marketing needs for the
upcoming a growing business that can’t afford the retainer ship of Agencies. It will be a real-time application that will
use data analysis and digital behavior of the vast audience.
The website will help the user to create and edit his/her own post also will provide a complete guide from
suggesting which social media platforms will be good for their particular business, there are a lot of platforms which
can be used for marketing in the digital world to analyzing data and of your audience base to managing paid
campaigns.

Published

2020-05-25

How to Cite

Minakshi Chilme, Radha Yelikar, Eshwari Bhujbal, Pearl Swaminathan, & Prof. Sandeep Patil. (2020). Social Media Analysis and Scheduling. International Journal of Advance Research in Engineering, Science & Technology, 7(5), 19–22. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1987