Twitter-sentiment analysis of Moroccan diabetic using Fuzzy C-means SMOTE and deep neural network
Effectively managing diabetes as a lifestyle condition involves fostering awareness, and social media is a powerful tool for this purpose. Analyzing the content of tweets on platforms like Twitter can greatly inform health communication strategies aimed at raising awareness about diabetes within the Moroccan community. Unfortunately, the corpus of tweets is imbalanced and the feature extraction leads to data sets with a very high dimension which affects the quality of sentiment analysis. This study focused on analyzing the content, sentiment, and reach of tweets spec