Sentiment Analysis of Adolescents: Gaming Addiction and Mental Health
Authors: Mr. Adarsh Kahar V. K. Krishna Menon College ,Bhandup (East)
Guide: Dr. Deepa Nyayadhish Assistant Professor, V.K.K. Menon College, Bhandup (East)
Abstract :
Gaming has emerged as one of the most popular leisure activities among adolescents aged 10–19. While it offers creativity, social connection and entertainment, excessive gaming has been linked to anxiety, depression, academic decline, and social withdrawal. The World Health Organization has recognized gaming disorder in ICD-11, making it a global mental health concern. This paper explores the role of sentiment analysis, a natural language processing (NLP) technique, in detecting emotional markers of gaming addiction. By analyzing text from social media, gaming forums, and online chats, sentiment analysis can reveal stress patterns, negative emotions, and early warning signals of addictive behavior. A conceptual methodology is proposed, mapping digital footprints to psychological outcomes. Key findings suggest sentiment analysis can detect early risky behaviors, enable large-scale monitoring, and provide stigma-free support. However, challenges remain in terms of privacy, algorithmic bias, and limited empathy compared to human counseling. The paper concludes that sentiment analysis should serve as a complementary tool alongside traditional therapy, with future work focusing on adolescentspecific models, ethical safeguards, and hybrid human–AI frameworks.
Keywords : Sentiment Analysis, Gaming Addiction, Adolescents, Mental Health, Natural Language Processing, AI .
