AI DevCamp Notes: Natural Language Processing (Week 4)

In week 4 of AI DevCamp, we delved deeply into the topic of Natural Language Processing (NLP).

Let’s take a closer look at the notes from our fourth week and explore the key components and applications of NLP that we covered together.

What is NLP?

Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that focuses on the interaction between computers and humans through natural language. The goal is to enable computers to understand, interpret, and generate human language in a way that is both meaningful and useful. NLP combines aspects of linguistics, computer science, and machine learning.

For example, when you talk to your smartphone and say, “What’s the weather like today?”, the phone uses NLP to understand your words, interpret their meaning, and provide you with a weather update.

Transitioning into the various components that make up NLP, let’s delve into some foundational elements.

Key Components of NLP

Morphological Analysis:
This examines the structure of words to identify roots and affixes. For example, the word “running” can be broken down into the root “run” and the suffix “ing”.