A Study on Stress Prediction using Sentiment Analysis on Social Media
Keywords:
Social media, Sentimental analysis, Stress level Pretection, Mental health, Support Vector machine (SVM), Machine Learning.Abstract
Stress is an important factor in a person’s daily life. Sentiment analysis is the study of people’s emotions, thoughts, and feelings. According to the World Health Organization (WHO), stress is a mental health issue that affects the well-being of individuals worldwide. In today’s world, people experience different levels of stress, which can influence emotions, thoughts, and behavior. Therefore, it is essential to identify and manage stress before it becomes a serious problem.
A large amount of informal data is shared daily on social networking sites, blogs, and discussion forums. This paper presents an approach for detecting stress using information collected from social media platforms. Social network data can be utilized effectively to identify stress levels among individuals. Various methods are available for stress detection, including medical tests and analytical techniques. This paper discusses different methods used in sentiment analysis and classifies them based on their advantages and limitations for the stress detection process.