Asian Journal of Engineering and Technology Innovation

Mining social media data using Naive Bayes algorithm

Rajeshri Thorat, Ekta Pawar, Pranali Shendekar, Kajal Lokhande, Apeksha Mengade

Indira College of Engineering Pune.

Abstract

Social network services have become a big source of information for users. Studying the characteristics of message is important for a number of tasks such as, breaking news detection, user’s recommendation, etc. However, classification of such big amount of data has been a big task. Hence, we need to use algorithms and techniques to categorize them. In this paper, we are developing a workflow to collect both qualitative analysis and large-scale data mining analysis. We are focusing on engineering student’s problem, which will be helpful for understanding their issues and educational resources. For doing analysis we are using the multiple label classification algorithms.

Keywords:

Social media data classification, education, web test analysis