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Arrival movie linguist introduces herself to aliens: "I am Louise ... Who are you?"

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Top linguist Dr. Louise Banks introduces herself to the aliens that landed on earth.

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It’s time to go beyond legacy methods of detecting plagiarism or AI-generated content. The Linguistic Fingerprint™ by LINGA is a revolutionary language analysis technology that sits at the intersection of linguistics, psychology, and computer science. It’s an entirely new way of identifying a person in the form-factors of speech and writing. Linguistic self-discovery awaits.
Feels Score: 9 in

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In the hit movie Trainwreck (2015), starring Amy Schumer, Amy's boss Dianna seems to have little patience for her father's death and funeral.
Feels Score: 2 in

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In season 15, episode 12 ("Milhouse Doesn't Live Here Anymore") of the hit TV show The Simpsons (2004), Homer Simpson is panhandling for funds in order to support his family. His wife, Marge Simpson, confronts Homer about where he is spending his time. Homer replies by saying "I'm not going to lie to you" and continues reading the newspaper, and gives Marge a gift when she pushes the matter. Homer's inability to share details and rapid change of subject demonstrate the lowest possible score of the Specificity attribute.
Feels Score: 1 in

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In a 2018 NBC News interview with Megyn Kelly featuring Russian President Vladimir Putin, Kelly interviewed the Russian leader in Moscow. As Megyn directed confrontational questions, President Putin kept his poise and matched the tone and demeanor of his counterpart. At the end, Putin even politely rebuked that Megyn had been cutting him off during the interview, downplaying Megyn's intended portrayal as a kind, polite journalist. Putin's ability to recognize and defend against the attacking journalist's charged questions with logical references to the world, its governance, and relations highlight the Formality attribute far above average.
Feels Score: 7 in

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In the hit sequel movie The Matrix Reloaded (2003), Neo goes to meet the Oracle, who can allegedly see the future. Without even looking, she tells Neo what is going to happen next on several occasions. This ability to engage in 'mental time travel' with events that have not happened yet highlights the Inference attribute to a degree that no real person can emulate.
Feels Score: 9 in

Ultra Low

0–5% percentile
An ultra low attribute score is exceptionally rare because it represents 5% of the entire population. In a room with 100 other people, a person with an ultra low attribute score would be lower than 95 of them and higher than none of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.

Very Low

5–10% percentile
A very low attribute score is rare because it represents 5% of the entire population. In a room with 100 other people, a person with a very low attribute score would be higher than five of them and lower than 90 of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.

Low

10–20% percentile
A low attribute score is somewhat uncommon and represents 10% of the entire population. In a room with 100 other people, a person with a low attribute score would be higher than ten of them and lower than 80 of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.

Slightly Low

20–40% percentile
A slightly low attribute score is common and represents 20% of the entire population. In a room with 100 other people, a person with a slightly low attribute score would be higher than 20 of them and lower than 60 of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.

Average

40–60% percentile
An average attribute score is typical and represents 20% of the entire population. In a room with 100 other people, a person with an average attribute score would be higher than 40 of them and lower than 40 of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.

Slightly High

60–80% percentile
A slightly high attribute score is common and represents 20% of the entire population. In a room with 100 other people, a person with a slightly high attribute score would be higher than 60 of them and lower than 20 of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.

High

80–90% percentile
A high attribute score is somewhat uncommon and represents 10% of the entire population. In a room with 100 other people, a person with a high attribute score would be higher than 80 of them and lower than 10 of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.

Very High

90–95% percentile
A very high attribute score is rare because it represents 5% of the entire population. In a room with 100 other people, a person with a very high attribute score would be higher than 90 of them and lower than five of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.

Ultra High

95–100% percentile
An ultra high attribute score is exceptionally rare because it represents 5% of the entire population. In a room with 100 other people, a person with an ultra high attribute score would be higher than 95 of them and lower than none of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.