Semantic analysis (machine learning)

Semantic analysis is like teaching a computer how to understand words and their meanings, just like how you understand them when someone talks to you.

Let’s say you want the computer to understand what you mean when you say “I am happy.” The computer needs to know that “happy” means feeling good or being joyful. This is done using a type of machine learning called natural language processing (NLP).

To teach the computer, we first need to give it a lot of examples of sentences with the word “happy” and other words that mean similar things like “pleased” or “content.” The computer then analyzes these examples and begins to understand what “happy” means.

But it’s not just about one word. The computer needs to be able to understand the meaning of the whole sentence. So if you say “She gave me a hug and made me feel happy,” the computer needs to understand that the person being hugged is feeling good because of the hug.

Semantic analysis helps the computer understand the relationships between all the words in a sentence and how they work together to create meaning. This is important because it allows the computer to understand and interpret human language, making it possible for us to communicate with machines.