Nov 6, 2026 · 4 min · 6 segments
Type in any sentence, and by the end your own code will tell you if it's positive or negative. This is episode 6 of 15 in Build Real AI. You leave with sentiment.py — live predictions, including one…
Computers can't understand words.
They only understand numbers.
So the entire game is turning text into numbers in a smart way, then running the same kind of model you already trained back in episode four.
exactly that.
Let me show you the simplest way to do it.
The simplest method is called bag of words.
You just count which words appear.
Great and love lean positive.
Terrible and hate lean negative.
Do that across thousands of labeled examples and a clear pattern emerges.
Bag of words, because you dump all the words in a bag and count them? That's literally the idea.
Let's build
it to my screen.
Computers can't understand words.
They only understand numbers.
So the entire game is turning text into numbers in a smart way, then running the same kind of model you already trained back in episode four.
exactly that.
Let me show you the simplest way to do it.
The simplest method is called bag of words.
You just count which words appear.
Great and love lean positive.
Terrible and hate lean negative.
Do that across thousands of labeled examples and a clear pattern emerges.
Bag of words, because you dump all the words in a bag and count them? That's literally the idea.
Let's build
it to my screen.
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