Data for Electronic Learning, A Social Media Clustering Model

Through Social media, people are able to write short messages on their walls to express their sentiments using varioussocial media like Twitter and Facebook. Through these messages also called status updates, they share and discuss things like news,jokes, business issues and what they go through on a daily basis. Tweets and other updates have become so important in the world ofinformation and communication because they have a great potential of passing information very fast. They enable interaction amongvast groups of people including students, businesses and their clients. These numerous amounts of information can be extracted,processed and properly utilized in areas like marketing and electronic learning. This paper reports on the successful development of away of searching, filtering, organizing and storing the information from social media so that it can be put to some good use in anelectronic learning environment. This helps in solving the problem of losing vital information that is generated from the social media.It addresses this limitation by using the data from twitter to cluster students and by so doing support group electronic learning.