David Z. Zhang¹ and Rodrigo Onate², ¹USA, ²California State Polytechnic University, USA

The BrainBow platform is designed to raise awareness about neurodiversity by analyzing real-time sentiment data from news articles and social media [1]. The system collects data from various sources and applies sentiment analysis to create an inclusivity index, helping families, educators, and communities understand public sentiment on neurodiversity. However, experiments show that while the platform performs well in explicit sentiment analysis, it struggles with nuanced topics such as gender and disability. To improve its accuracy, the platform could benefit from advanced NLP models and more comprehensive datasets [2]. Despite these challenges, BrainBow is a valuable tool for promoting inclusivity and understanding neurodiverse issues.

Neurodiversity, Sentiment Analysis, Inclusivity Index, Real-Time Data, Natural Language Processing (NLP)