A Sentiment Analysis of Autism Tweets

Abstract

In the dynamic landscape of social media, where intellectual discourse, information retrieval, and the exchange of ideas thrive, scholarly attention is increasingly drawn to the growing trend of users expressing viewpoints and ideas, notably manifested in a surge of daily tweets related to autism. This research explores the escalating phenomenon of users utilizing emojis, hashtags, reviews, and personal experiences on social media platforms to articulate their encounters with social challenges. The focal point of this research study is the development of the Autism Tweets Visualization Dashboard, a pivotal tool that categorizes and visually represents word usage across social media platforms. Beyond the identification of attitudes in user comments, this innovative dashboard serves as a real-time lens into contemporary social issues. The research aims to enhance public awareness of rights and security, offering valuable insights into a diverse array of perspectives and emotions. Utilizing sentiments analysis, the community gains the ability to swiftly showcase nationwide tweets, pinpointing content relevant to autism, and assessing public sentiment on specific subjects. This research contributes not only to understanding the dynamics of social media expression but also to empowering communities to engage in informed discussions, fostering a deeper understanding of the nuanced landscape of autism-related discourse in the digital realm.