Call For Paper Volume:7 Issue:5 May'2020 |

Mining Social Media Data for Analyzing Students Learning Experience

Publication Date : 16/03/2016

Author(s) :

Kadu Rushikesh V. , Prof. P. V. Waje , Milani Hitesh L. , Bachchhav Anand D. , Satpute Vaishali B. .

Volume/Issue :
Volume 3
Issue 3
(03 - 2016)

Abstract :

Social networking allows to create and connect to user produced content. Social networks like Fb or Facebook .Com, Twitter and so on Students everyday discussion in social media focused in their educational experience, mind-set, and bother about the learning procedure. Data from a great un-instrumented conditions or systems can present incredibly much valuable information to analyses student problem. Evaluating data from such a social networking can be challenging process. The situation of students activities| reveal from social mass media sited need human examination or Interaction. It offers attention on student’s discussions on social media to find out problem and troubles within their educational practices. This newspaper proposes a workbox to set up both qualitative investigation and large-scale data mining system. First a sample is usually obtained from student and after that qualitative analysis conducted in that sample which is usually associated to engineering student’s educational life. So just| posts related to executive student is collected. After that classification algorithm is put on make more accurate consequence it is going to perform filtering.

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Mining Social Media Data for Analyzing Students Learning Experience

March 11, 2016