EVALUATE THE POSITIVE ASPECTS OF STUDENT LEARNING EXPERIENCE IN SOCIAL MEDIA USING NAIVE BAYERS ALGORITHAM

Sheetal R. Patodiya; Prof. Namrata Shroff

Volume : IV, Issue : V, May - 2015

EVALUATE THE POSITIVE ASPECTS OF STUDENT LEARNING EXPERIENCE IN SOCIAL MEDIA USING NAIVE BAYERS ALGORITHAM

Sheetal R. Patodiya, Prof. Namrata Shroff

Abstract :

Student�s informal conversations on social media (e.g twitter, Facebook and other social media sites) show the educational experiences, opinions, feelings and concern about the learning process. The data extraction from the social media provide valuable knowledge to inform student learning experience about how they positively taking the education and what are the benefits they gain from the education and in which area they are most focusing. My research focuses on the discover positive view of the students (using text and image and multiple languages ) find the most accurate result using or improving multi–label naive bayers classification in which attribute will be divided into multiple categories. Furthermore it is assumed that an appropriate algorithm provides better efficiency and more accurate results