NLP Introduction

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. This guide provides an overview of NLP and its applications.

What is NLP?

NLP enables computers to understand, interpret, and generate human language. This is achieved through the use of algorithms and models that analyze text and speech data.

Applications of NLP

Text Analysis: Sentiment analysis, topic modeling, and named entity recognition.
Speech Recognition: Transcribing spoken words into written text.
Machine Translation: Translating text from one language to another.
Chatbots: Providing automated customer service.

Key Concepts

Tokenization: The process of breaking text into individual words or tokens.
Part-of-Speech Tagging: Assigning parts of speech to each word in a sentence.
Named Entity Recognition (NER): Identifying and classifying named entities in text, such as people, organizations, and locations.

Learn More

To delve deeper into NLP, we recommend checking out our comprehensive course on Natural Language Processing.