An Investigation of Asthma Experiences in Arabic Communities Through Twitter Discourse

Artificial intelligence technologies can effectively analyze the public opinions from social-media platforms like twitter. This study aims to employ AI technology and big data explore discuss common issues of asthma that patients share on Twitter platform in Arabic communities. The was acquired using API version 2. Latent Dirichlet Allocation used for grouping into two clusters which provide information tips about treatment prevention personal experiences with asthma, including symptoms, diagnosis, negative impact quality life. Sentiment analysis frequency distribution techniques were both clusters. first indicated individuals are interested learning different ways treat potentially finding a permanent solution. second cluster existence sentiments also included religious expressions improving condition. discussed differences among communities other