Here’s how to visualize emotion in text with Python using OpenAI and Exploratory Data Analysis
I want to start by saying that I am a fan of old Disney movies more than the new ones.
I think that it has something to do with the fact that I was a kid when I watched older Disney movies and I have this feeling of nostalgia about the moment itself. Even if, by all means, I am not a movie expert, I also have the feeling that the old Disney movies are the ones with the best plots.
There is one remarkable exception though, and that is Inside Out. I watched that movie in the theater and was in love with it. I don’t want to spoil anything, I’ll say that the movie is about the idea that inside all of us there is a range of emotions:
- Rage
- Disgust
- Joy
- Fear
- Sadness
And these emotions sometimes talk, like they are real people, inside of us. It’s an incredibly sweet movie with, I think, an amazing plot. When I heard that the new movie, Inside Out 2, is about to come out, I was so excited and I’m counting the days. :)
Now, let me anticipate your question:
“What does it have to do with AI?
When I was watching the trailer, I thought
“Can we generate what emotions would say?”
“Can we use the ChatGPT technologies to simulate what emotion “rage” would say if they were a person?”
“Can we explore emotions as vectors in a N dimensional space? And if that, can we plot it?
So buckle up, and let’s see what we can do 😏
Before we dive in, I want to highlight that this is a “game” based on the movie. I think that a world where emotions are replaced by AI would be a pretty sad one, and I’m not claiming that the procedure will do any of that in the first place.
This story is divided into 4 parts:
0. The structure of the code
1. The first part of the code, generating emotions. High focus on the code
2. The second part of the…
This post originally appeared on TechToday.