Natural Language Processing (NLP) Basics

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. This tutorial will provide an overview of the basics of NLP.

What is NLP?

NLP is the ability of a computer program to understand, interpret, and generate human language. It involves several subfields, including:

Text Processing: The manipulation of text data, such as tokenization, parsing, and part-of-speech tagging.
Speech Recognition: The ability of a computer to interpret spoken words and convert them into written text.
Natural Language Generation: The ability of a computer to generate human-readable text.

Common NLP Tasks

Here are some of the most common tasks in NLP:

Sentiment Analysis: Determining the sentiment of a piece of text, such as whether it is positive, negative, or neutral.
Machine Translation: Automatically translating text from one language to another.
Named Entity Recognition (NER): Identifying and classifying named entities in text, such as people, places, and organizations.

Getting Started with NLP

To get started with NLP, you can use various libraries and frameworks, such as:

NLTK: A popular Python library for NLP.
spaCy: An industrial-strength NLP library.
TensorFlow: An open-source machine learning framework that includes NLP capabilities.

For more information on getting started with NLP, check out our Getting Started with NLP tutorial.

Resources