How to Build an NLP Engine that Won’t Screw Up

Nowadays, lot's of discussion is happening around the question of what artificial intelligence can and can't do. Even though artificial intelligence has a controversial status, this technology already has some real-life business applications and delivers proven results.

Building a meaningful interaction with a machine through natural language (NL) is one of the most important goals in artificial intelligence research. Databases, application modules and expert systems based on AI require a flexible interface since users mostly do not want to communicate with a computer using artificial language. While many fundamental problems in the field of Natural Language Processing (NLP) have not yet been resolved, one can build application systems that have an interface that understands NLP under specific constraints.

In this article, we will show you where to start building your NLP application. It covers the basics as well as provides some insights on how to avoid the risks of wasting your money on an AI application that won't deliver to your needs. Read the entire post here

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