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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…
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