Why NLP is important and it’ll be the future — our future
Explained by Data Scientist
2 years ago, when I was still having my overseas internship at CERN, I had a phone interview with Rakuten Viki (You can think of it like another Netflix) for a data science intern position.
So I had a call with a guy and he asked my if I had any experience in NLP.
Well… Guess what?
I asked him this, “You mean Neuro-linguistic programming?”, while I was still googling the NLP term at the same time — multitasking at its best I supposed.
Long story short, I knew I didn’t pass the phone interview despite the comforting sentence that he said at the end, “Thanks for the time. I’ll get back to you soon should you be shortlisted.”
After some googling, that was the “aha” moment (after the interview call) when I knew that NLP referred to Natural language processing.
NLP — also known as computational linguistics — is the combination of AI and linguistics that allows us to talk to machines as if they were human.
In other words, NLP is an approach to process, analyze and understand large amount of text data.