NLP for Equity Investing with Frank Zhao - #424
2020-11-02 · 44 min · episode 424 · 14 entities
Asserted relationships
-
→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
evidence rules-v4
NLP for Equity Investing with Frank Zhao - #424
-
0.55
evidence rules-v4
Feed author/publisher: Sam Charrington
-
0.40
evidence rules-v4
Feed category: Science
-
0.40
evidence rules-v4
Feed category: Technology
-
0.40
evidence rules-v4
Feed category: News
-
0.40
evidence rules-v4
Feed category: Tech News
-
0.40
evidence rules-v4
Feed author/publisher: TWIML
Entities found in this episode
concepts 6
-
0.50
evidence rules-v4
Feed category: Science
-
0.50
evidence rules-v4
Feed category: Tech News
-
0.40
evidence rules-v4
Feed category: Science
-
0.40
evidence rules-v4
Feed category: News
-
0.40
evidence rules-v4
Feed category: Tech News
-
0.35
evidence rules-v4
NLP
companys 4
-
0.70
evidence rules-v4
Feed author/publisher: TWIML
-
0.50
evidence rules-v4
Feed category: Technology
-
0.40
evidence rules-v4
Feed category: Technology
-
0.40
evidence rules-v4
Feed author/publisher: TWIML
persons 3
-
0.72
evidence rules-v4
NLP for Equity Investing with Frank Zhao - #424
-
0.70
evidence rules-v4
Feed author/publisher: Sam Charrington
-
0.55
evidence rules-v4
Feed author/publisher: Sam Charrington
podcasts 1
-
appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
evidence rules-v4
NLP for Equity Investing with Frank Zhao - #424
Episode description as stored
Today we’re joined by Frank Zhao, Senior Director of Quantamental Research at S&P Global Market Intelligence.
In our conversation with Frank, we explore how he came to work at the intersection of ML and finance, and how he navigates the relationship between data science and domain expertise. We also discuss the rise of data science in the investment management space, examining the largely under-explored technique of using unstructured data to gain insights into equity investing, and the edge it can provide for investors.
Finally, Frank gives us a look at how he uses natural language processing with textual data of earnings call transcripts and walks us through the entire pipeline.
The complete show notes for this episode can be found at twimlai.com/go/424.