- Bias Rating
-4% Center
- Reliability
N/AN/A
- Policy Leaning
N/A
- Politician Portrayal
4% Positive
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Center
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Conservative
-100%
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100%
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The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
N/A
Sentence | Sentiment | Bias |
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"Daniel McMahon; VP & Head of Public IR; Crescent Capital BDC, Inc.Jason A. Breaux; CEO & President; Crescent Capital BDC, Inc.Robert James Dodd; Director & Research Analyst; Raymond James & Associates, Inc., Research DivisionRyan Lynch; MD; Keefe, Bruyette, & Woods, Inc., Research DivisionOperatorGood afternoon, ladies and gentlemen, and welcome to the Q3 2023 Crescent Capital Inc." | Positive | 10% Conservative |
"Ryan LynchFirst question I had, kind of following up on the previous line of question with the loan to value 30" | Positive | 6% Conservative |
"If the M&A environment does pick up over the next -- going into 2024, which it seems to be -- do you think that, that would result in a higher correlation or some correlation of you being able to and actually exiting the FCRD portfolio at a faster clip or do you think a more active M&A environment doesn't really have a high correlation with your ability to -- and speed of exiting those investments?Henry ChungThanks for the question, Ryan." | Positive | 4% Conservative |
"OperatorYour next question comes from the line of Ryan Lynch from KBW." | Negative | -8% Liberal |
"So I think you've got a little bit of our conservative bias, but in addition to that, just a supply-demand imbalance, which we hope to even out and become more rational in '24.Ryan LynchOkay." | Negative | -8% Liberal |
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Center
Somewhat Conservative
Moderately
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Extremely
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-100%
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100%
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Contributing sentiments towards policy:
% :*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.