Chapter 7. Text Summarization

In this chapter, we will be building the summarization application. We will specifically focus on the textual dataset. Our primary goal is to perform the summarization task on medical notes. Basically, the idea is to come up with a good solution to summarize medical transcription documents.

This kind of summarization application helps doctors a great manner. You ask how? Let's take an example. Suppose a patient has 10 years of history with a certain disease, and after 10 years, he consults a new doctor for better results. On the first day, the patient needs to hand over their last 10 years of medical prescriptions to this new doctor. After that, the doctor will need to study all these documents. The doctor also relies on the conversation he had with the patient. By using medical notes and conversations with the patient, the doctor can find out the patient's health status. This is quite a lengthy method.

However, what if we could generate a summary of the patient...