Natural Language Processing Defined
Natural Language Processing (NLP) is a branch of artificial intelligence that deals with the interaction between computers and humans using a natural language manner. Essentially it is asking your computer a query as if you were asking a human.
The objective of NLP is to read, decipher and understand the human language in a valuable manner.
NLP works by applying algorithms to identify and extract the natural language rules, to convert the data into a form that computers can understand. The computer will then utilize algorithms to extract the meaning associated with each sentence and collect the essential data from them. Most NLP techniques rely on machine learning to understand human languages.
There are two main techniques in NLP:
- Syntax – refers to the arrangement of words in a sentence such that they make grammatical sense.
- Semantics – refers to the meaning that is conveyed by a text.
By incorporating NLP, it improves the user interface for business information, allowing business to generate queries, explore data, receive and act on insights using voice or text.
Databases that currently use NLP include: Alexa, Siri, Ok Google, Google Translate, Microsoft Word, Grammarly, and interactive voice response applications.
In Data Defined, we help make the complex world of data more accessible by explaining some of the most complex aspects of the field.
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