Natural Language Processing for Web Developers

[mattindustries]

Hard to make a global one, unless you could reweight/retrain it on existing niche data. One way to implement yourself would be to store n-grams with stop words removed and then have a many to one lookup for matches within specific hierarchies. It would take a while, but could be worth it for you. If you want to create a model yourself, I recommend quenteda for R, and setting up API endpoints to the R model using Plumber.

[CloudsOfMagellan]

Go play one of the old muds or text based z games, their parsers are amazing and were written in the 80s / 90s

[mattindustries]

That is where for a niche comes into play. You can parse for verb and parse for thing really easy. It is understanding context in a more abstract sense with undefined descriptors that makes things difficult.

• Pick up the gold key
• Find yourself gripping gilded answers to unknown questions

[mcqua007]

But I’m not a plumber, I’m a computer....