Analyzing Social Media Data in Sector like education Using Data Mining

Prof .I.R.Shaikh , Shinde Vaishnai Paresh , Somvanshi Snehal Digambar , Bhavsar Vinita Prakash , Shelke Nikita Mahesh

Facebook, Pattern, structured data, Integration, Media.

The upcoming method in studying analytics and institutional data mining is on analyzing structured data taken from program management systems, or controlled online studying environments to inform educational decision-making. However, there is no proper method found to mine and analyze student posted messages from uncontrolled spaces on the social web sites with the clear goal of understanding students learning experiences. Data Mining is defined as extracting the knowledge from the huge data. This information can be used for any of the applications such as Market Analysis, Fraud Detection, Customer Retention, etc. The research goals of this study are to demonstrate a workflow of social media data for decision making in educational sectors, integrating both qualitative analysis and large scale data mining techniques and to explore students’ informal conversations on platform like Facebook, in order to understand issues and problems encountered.

Published Paper   E-Certificate

"Analyzing Social Media Data in Sector like education Using Data Mining", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 11, page no.125 - 127, December-2018, Available :https://ijsdr.org/papers/IJSDR1812020.pdf

Volume 3 Issue 11, December-2018

Pages : 125 - 127

Paper Reg. ID: IJSDR_180896

Published Paper Id: IJSDR1812020

Downloads: 000347190

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR1812020

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1812020

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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