AI-NLP Basics

Artificial Intelligence (AI) and Natural Language Processing (NLP) are two rapidly evolving fields that are transforming the way we interact with technology. Here's a brief overview of the basics:

AI is the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.
NLP is a branch of AI focused on the interaction between computers and humans using natural language.

Key Concepts

Tokenization: The process of breaking text into words, phrases, symbols, or other meaningful elements called tokens.
Part-of-Speech Tagging: Identifying the parts of speech for each word in a sentence (noun, verb, adjective, etc.).
Named Entity Recognition (NER): Identifying entities in text such as names, locations, organizations, etc.

Applications

Chatbots: AI-powered chatbots can provide customer service, answer FAQs, and engage with users in natural language.
Sentiment Analysis: Analyzing the sentiment of text to determine whether it is positive, negative, or neutral.
Machine Translation: Translating text from one language to another using AI algorithms.

Learn More

For an in-depth understanding of AI-NLP, check out our comprehensive guide on AI-NLP Fundamentals.