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Brainbow: A Real-Time Inclusivity Index for Neurodiversity using Sentiment Analysis of News and Social Media

Year: 2024

Type: conference-paper

Abstract: 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.

DOI: 10.5121/csit.2024.141917

Authors: David Z. Zhang, Rodrigo Onate

Institutions: University High School, California State Polytechnic University

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4404448546

FWCI:

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