Detection of Mental Stress Level via code mixed Social media posts using Sentiment Analysis

Abstract

"Detecting mental stress level using code-mixed social media posts lies in the unique linguistic and contextual challenges posed by the combination of multiple languages within a single post. Code-mixing, the phenomenon of blending languages, is prevalent in online communication, especially on social media platforms. This mixing of languages introduces complexities in natural language processing tasks, making it difficult to accurately detect and classify mental stress levels. The inclusion of multiple languages, variations in grammar and syntax, slang, and cultural references further complicate the analysis process. As a result, existing stress detection methods may not adequately handle code-mixed data, leading to reduced accuracy and effectiveness in identifying and understanding mental stress levels within this specific linguistic context."