By Eleonora Rossetti
How does a machine perceive our contents? How can it evaluate our feelings? In another world: what’s the state of the art of AI when it comes to sentiment analysis?
“So far so good” is my attempt to explore “art and artificial intelligence” from this point of view. I used to keep a diary since I arrived in Finland: a good metaphor to talk about personal data(set), I thought.
I had to input relevant words to let the program understand, that’s why I’d say I had the possibility to talk WITH the machine while I was trying to talk ABOUT the machine.
I turned every numeric result into the opacity percentage of a square, creating a grid. The Grid stands for the pixel structure, the “atom” of the digital world. But it also recalls the shape of digital calendars, a metaphor of the passing of time of which my diary try to keep track of.
0-1 is the range of the opacity in CSS but also the well-known digits of the binary code. The simple visual output wants also to take into consideration topics related to the digital world like data transparency, privacy online and the simplification of our identities performed by the machines.
TOOLS & CREDITS:
- Algorithm: ML.js.org – Friendly Machine Learning for the Web (link: https://ml5js.org/)
- Dataset: Microsoft excel
- Audio: Clock Ticking by epidemicsound (link: https://www.epidemicsound.com/sound-effects/search/?term=clock)
- Art/video: Adobe Illustrator / Adobe Photoshop
PERSONAL IG PROFILE: @eleon_air