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@article{180926,
        author = {Utkarsh Singh and Dr. Ranjana Rajnish},
        title = {Sentiment Analysis On Mental Health Forums},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {2955-2963},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180926},
        abstract = {Mental health has emerged as a critical concern in contemporary society, gaining recognition for its significance in overall well-being. With the rise of online platforms, individuals now frequently express their emotions and mental states through digital mediums, particularly in forums dedicated to mental health. This research focuses on sentiment analysis of user-generated content on mental health forums to understand the prevailing emotional expressions. By employing Natural Language Processing (NLP) techniques and rule-based models, we attempt to classify sentiments expressed in posts as positive, negative, or neutral. The study also aims to identify recurring themes and keywords that appear in such conversations. The findings may contribute to the development of tools that assist mental health professionals in monitoring emotional patterns in online communications.},
        keywords = {Sentiment Analysis, Mental Health, Forums, Machine Learning, Natural Language Processing (NLP), Emotional Classification, TextBlob, Data Science},
        month = {June},
        }