Getting Started with Natural Language Processing using Python

This article was published as a part of the Data Science Blogathon

Why NLP?

Natural Language Processing has always been a key tenet of Artificial Intelligence (AI). With the increase in the adoption of AI, systems to automate sophisticated tasks are being built. Some of these examples are described below.

Diagnosing rare form of cancer – 

At the University of Tokyo’s Institute of Medical Science, doctors used artificial intelligence to successfully diagnose a rare type of leukemia. The doctors used an AI system that cross-referenced the patient’s genetic data with tens of millions of oncology papers and diagnosed cancer as rare secondary leukemia caused by myelodysplastic syndromes. The machine was able to do this in 10 mins, while it would have taken human scientists about 2 weeks to do the same.

Settling an insurance claim within 3 seconds

Lemonade built a bot – AI Jim, which interacts with the claimant in real-time and understands the nature and severity of the claim. It assesses the likelihood

 

 

 

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