• Safwan Kurawlay
• Swapnaja Darole

Nowadays , everyone has mental stress in their life. People are used to share their feelings, daily activities and interacting with friends on the social media platforms. In this, we find that users stress state is closely related to their interaction in the social media. From this, We are taking live users data from twitter so that we can employ large scale dataset from social media platform to study their correlation, stress state and social interaction. We define a set of stress related textual, visual and social attributes from various contents based on that we are applying some classification rules in web mining. From this, we can get number of stressed users and non-stressed users

Mental Stress, Social Media Platform, Stress State, User Data, Twitter, Dataset, Correlation, Social Attributes, Classification Rules, Web Mining

"Stress Detection Based on Social Interaction Using Web Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.124-127, May-2019, Available :http://www.jetir.org/papers/JETIR1905A20.pdf

"Stress Detection Based on Social Interaction Using Web Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp124-127, May-2019, Available at : http://www.jetir.org/papers/JETIR1905A20.pdf