Introduction to Natural Language Processing (NLP)

Welcome to the beginner's tutorial on Natural Language Processing (NLP). This guide will help you understand the basics of NLP and its applications.

What is NLP?

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. It involves the ability of machines to understand, interpret, and generate human language.

Key Concepts

Here are some key concepts in NLP:

• Tokenization: Breaking down text into individual words or tokens.
• Part-of-Speech Tagging: Identifying the parts of speech for each token, such as nouns, verbs, or adjectives.
• Named Entity Recognition (NER): Identifying and classifying named entities in text, such as people, places, and organizations.
• Sentiment Analysis: Determining the sentiment or tone of a piece of text.

Applications of NLP

NLP has a wide range of applications, including:

• Chatbots: Automated conversational agents that can provide customer service or answer questions.
• Machine Translation: Translating text from one language to another.
• Text Summarization: Generating a concise summary of a longer piece of text.
• Speech Recognition: Converting spoken words into written text.

Getting Started

To get started with NLP, you can explore the following resources:

• Natural Language Toolkit (NLTK)
• spaCy
• TextBlob

Image: Tokenization

Tokenization

By understanding the basics of NLP and its applications, you can start exploring more advanced topics and contribute to the field of artificial intelligence. Happy learning!