Process of Natural Language Processing
Introduction to NLP
Natural Language Processing (NLP) is a subset of machine learning in which we aim to train computers to understand human languages. The chatbot you see in a banking app, Siri on iPhone, or Google translator are examples of natural language processing. In the process of Natural Language Processing, we aim to prepare a textual dataset to build a vocabulary for text classification or clustering. If you want to understand the process of Natural Language Processing, this article is for you.
In this article, I’ll guide you through the natural language processing procedure you must adhere to while working on any natural language processing-based issue.
How does NLP work
NLP enables computers to understand natural language as humans do. Whether the language is spoken or written, natural language processinguses artificial intelligence to take real-world input, process it, and make sense of it in a way a computer can understand.
Process of Natural Language Processing
The complete process of natural language processing includes:
- Collecting textual data or documents
- Tokenization
- Stop words removal
