This image illustrates the end-to-end workflow for sentiment analysis. It begins with collecting feedback from hospital systems and blog websites. The feedback undergoes preprocessing steps such as tokenization, stop word removal, stemming or lemmatization, and vectorization. After classification, the data is processed by an algorithm to perform sentiment analysis. Finally, the results are compiled into analytical reports for further interpretation and decision-making.