Stress Detection Based on social media Blogs

Stress Detection Based on social media Blogs

DR. M.Gayathri, Y.ReddyPriya, S.Hemalatha

Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya Enathur, Kanchipuram, India

ABSTRACT
Major psychological health issues like stress, anxiety, etc. are a direct outcome of technology development and a huge increase in social media usage. It is possible to examine these problems and develop prevention plans. As a result of people's great desire to support SMEs, social media monitoring of blogs is essential to resolving these serious issues (Social Media Environments). Psychologists used conventional techniques like surveys and interviews, but these procedures are time-consuming and hysterical. In this paper, we reviewed a variety of stress detection techniques and discovered that they were unsuccessful for identifying stress in social media.

In this study, we presented a method for effectively detecting stress in people by utilising the ontology. Using the ontology for stress detection among people and recommending the essential safety measures to stop users from committing suicide is what we presented as an effective stress detection approach in this study. The term matching search method known as ontology is utilised in social media to more accurately detect communications shared by users that are connected to stress.

KEYWORDS
Stress, SME, detection, and psychologists.