“Our manually generated stories, which are frankly much more informative”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
(the analysis reads context, assessments check outside sources). how →
More from Amanda Stent
AssertionSupported
Stent: No generic text analytics platform can handle financial language
“There is no on the market generic text analytics platform that can handle this type of language. No way.”
Amanda StentMar 2, 2018▶ 6:51Text Analytics for Finance // Amanda Stent, Bloomberg (FirstMark's Data Driven)
Disclosure
Bloomberg can automatically generate news articles without humans in two minutes
“And this kind of article we can now automatically generate. So you can get this with no human intervention within two minutes, and then within five minutes a human journalist can come along in art color.”
Amanda StentMar 2, 2018▶ 8:29Text Analytics for Finance // Amanda Stent, Bloomberg (FirstMark's Data Driven)
AssertionPartly supported
Generic NLP mistakenly linked Bill O'Reilly news to O'Reilly Auto Parts
“Okay, so Bill O'Reilly said something, and there's a small and innocent company called O'Reilly Auto Parts somewhere in the Midwest, and a bunch of generic text analytics engines linked Bill O'Reilly to O'Reilly Auto Parts, and the O'Reilly Auto Parts stock dr…”
Amanda StentMar 2, 2018▶ 9:48Text Analytics for Finance // Amanda Stent, Bloomberg (FirstMark's Data Driven)
Disclosure
Bloomberg filters social media manipulation using account metadata and supply chain data
“We do a lot of historical monitoring, so we can know how old a social media account is. We also have a very, very large collection of pieces of information about entities in the world, so we can know how closely associated a particular handle is. With a decisi…”
Amanda StentMar 2, 2018▶ 16:15Text Analytics for Finance // Amanda Stent, Bloomberg (FirstMark's Data Driven)
Disclosure
Stent: Bloomberg shifted data labeling to deep learning and decision trees
“And that's something that historically has been done mostly with rule-based systems, but today we do it with deep learning and a lot of decision trees.”
Amanda StentMar 2, 2018▶ 13:49Text Analytics for Finance // Amanda Stent, Bloomberg (FirstMark's Data Driven)
“So we can't always predict based on the non-linguistic or even the linguistic features of a, of an earnings call or an earnings release.”
Amanda StentMar 2, 2018▶ 23:13Text Analytics for Finance // Amanda Stent, Bloomberg (FirstMark's Data Driven)
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