Analyzing the behavior of youth to sociality using social media mining
Ardra, Blessy Merin Varughese, Merline Susan Joseph, Preethi Elsa Thomas, K. K. Sherly · 2017
Social Media houses a vast amount of data which can be utilized for data mining. It has become an inseparable source that has been influencing the lifestyle of millions of people. The main objective of this paper is to identify the behavior of youth to sociality using social media mining techniques. This paper demonstrate how we can exploit social and structural textual information of Tweets to identify the trending topics using frequent patterns and classify the sentiments of Tweets using Natural Language Processing. Using social media as a platform this work intends to gather data and to analyze it to draw the behavioral pattern of the current youth that helps us to identify their interests, likes and dislikes. The experimental result of this approach shows the opinion of youth/publics on various matters and persons in different areas and verified the effectiveness. This technique proposed may help people to make decision and performance improvement.