Title :
Prediction of events in education institutions using online social networks
Author :
Kumar, K. Sailaja ; Geetha, D. Evangelin ; Kumar, T. V. Suresh
Author_Institution :
Dept. of Comput. Applic., M.S. Ramaiah Inst. of Technol., Bangalore, India
Abstract :
Communication among millions of internet users has become very popular in sharing opinions on different aspects of life every day. The stake holders of education institutions are interested in the online profile and visibility of the institutions by exploiting the communication opportunities offered by the Internet. This paper aims to analyze the role of Online Social Networks (OSNs) in education institutions data analysis. The most popular micro-blogging platform twitter is used for data gathering and statistical software R for data analysis. A survey was conducted to collect the tweets for one month and around 110 tweets were examined based on the expectations, requirements and needs of the stake holders. An algorithm is developed to create and analyze the corpus using text mining; and explained the discovered phenomena. The most frequent words and the significance of those words in the events happened over a period of time in education institutional area is identified.
Keywords :
Internet; data mining; educational administrative data processing; social networking (online); text analysis; Internet; OSNs; R statistical software; Twitter; data gathering; education institution data analysis; event prediction; microblogging platform; online profile; online social networks; opinion sharing; text mining; Data analysis; Education; Media; Text mining; Twitter; Education Institutions; Online Social Networks (OSNs); R; Text Mining; Twitter;
Conference_Titel :
Circuits, Communication, Control and Computing (I4C), 2014 International Conference on
Print_ISBN :
978-1-4799-6545-8
DOI :
10.1109/CIMCA.2014.7057834
