.@AGPamBondi: "We are
Deceptive Trait Statements: 0
0 Views.@AGPamBondi: "We are finding these people, we are arresting them, and we are charging them. They will go to prison for as long as we can send them... Mark my words, he will be in jail and he will be prosecuted." https://t.co/3vSuJBGiDy pic.twitter.com/6qgSLjSN12
— Rapid Response 47 (@RapidResponse47) November 14, 2025
Description
finding these people, we are arresting them, and we are charging them. They will go to prison for as long as we can send them... Mark my words, he will be in jail and he will be prosecuted."
Vocal Analysis
Detected Statement ID: 1 |
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| Statement | 1 | ||
| Person ID | 0 |
 |
|
| Person Name | Pam Bondi | ||
| Words Stated | 31 | ||
| Words not Understood | 0 | ||
| Sentiment Detected | Neutral | ||
| Sentiment Polarity | -0.05 | ||
| Sentiment Subjectivity | 0.4 | ||
| Sarcasm Scoring | -33 | ||
| Vocal Emotion of Speaker | None | ||
| Determined Emotion Analysing Accuracy | 0 | ||
Detected Statement ID: 2 |
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| Statement | 2 | ||
| Person ID | 0 |
 |
|
| Person Name | Name Not Determined | ||
| Words Stated | 23 | ||
| Words not Understood | 0 | ||
| Sentiment Detected | Positive | ||
| Sentiment Polarity | 0.35 | ||
| Sentiment Subjectivity | 0.55 | ||
| Sarcasm Scoring | 23 | ||
| Vocal Emotion of Speaker | None | ||
| Determined Emotion Analysing Accuracy | 0 | ||
Detected Statement ID: 3 |
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| Statement | 3 | ||
| Person ID | 0 |
 |
|
| Person Name | Lara Baldesarra | ||
| Words Stated | 33 | ||
| Words not Understood | 0 | ||
| Sentiment Detected | Neutral | ||
| Sentiment Polarity | 0 | ||
| Sentiment Subjectivity | 0.5 | ||
| Sarcasm Scoring | 3 | ||
| Vocal Emotion of Speaker | None | ||
| Determined Emotion Analysing Accuracy | 0 | ||
Detected Statement ID: 4 |
|||
| Statement | 4 | ||
| Person ID | 0 |
 |
|
| Person Name | Pam Bondi | ||
| Words Stated | 39 | ||
| Words not Understood | 0 | ||
| Sentiment Detected | Neutral | ||
| Sentiment Polarity | -0.05 | ||
| Sentiment Subjectivity | 0 | ||
| Sarcasm Scoring | -12 | ||
| Vocal Emotion of Speaker | None | ||
| Determined Emotion Analysing Accuracy | 0 | ||
Detected Statement ID: 5 |
|||
| Statement | 5 | ||
| Person ID | 0 | ||
| Words Stated | 31 | ||
| Words not Understood | 0 | ||
| Sentiment Detected | Negative | ||
| Sentiment Polarity | -0.31 | ||
| Sentiment Subjectivity | 0.69 | ||
| Sarcasm Scoring | -25 | ||
| Vocal Emotion of Speaker | None | ||
| Determined Emotion Analysing Accuracy | 0 | ||
Deceptive Trait Analysis
AI Determined | ||
Person averaged | ||
| Person ID | 0 | |
| Blinks | 3.970249650003148e-09 | |
| Blinks Per Second | 0.3184037359371683 | |
| E.A.R | 0.4355527068914245 | |
| L.A.R | 0.1902094941728427 | |
| Lips Pursing | 0 | |
| Cheek Colour (R, G, B) | 187, 120, 107 | |
1. Detected: | ||
| Person ID | 0 |  |
| Person Name | Pam Bondi | |
| Deception Analysis | ||
| Time Stamp | 00:00:47:109 | |
| Period Detected | 00:00:47:109 | |
| Blinks Detected | 15 | |
| Blinks Per Second | 0.3184037359371683 | |
| Number of Blushes Recognised | 0 | |
| Number of Lip Pursing Recognised | 0 | |
| Predicted | Truth | |
| Sentence Note It's possible that there has been a failure in translating a word, or that the word has been incorrectly represented. Please note that the AI system does not make a definitive determination on these words; it is simply providing helpful understanding through post-processing. | we can say is we're finding these people we are we're asking them and we are charging them they will go to prison for as long as we can send them we know who did this to elena ha but i saw the video that selling this guy had a full size baseball bat anything like a caged in the mall in front of her off as they ultimately he get gets to our office without the back but manages to tear apart the front office and he will mark my words he will be in jail and he will be prosecuted what a dime to steve in haiti we found out firsthand that person is now charged in the middle of this trip to florida | |
| Age and Gender Analysis | ||
| Person 0 Age Range | 26-30 | |
| Gender of Speaker | Female | |
| Crossed-Arm Detection | ||
Person ID 0 without Crossed-Arm | ||
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