World Model · podcast knowledge graph

NLP for Equity Investing with Frank Zhao - #424

2020-11-02 · 44 min · episode 424 · 14 entities

Asserted relationships

Entities found in this episode

concepts 6

  • mentioned Science concept
    0.50
    evidence rules-v4
    Feed category: Science
  • mentioned Tech News concept
    0.50
    evidence rules-v4
    Feed category: Tech News
  • discusses Science concept
    0.40
    evidence rules-v4
    Feed category: Science
  • discusses News concept
    0.40
    evidence rules-v4
    Feed category: News
  • discusses Tech News concept
    0.40
    evidence rules-v4
    Feed category: Tech News
  • mentioned NLP concept
    0.35
    evidence rules-v4
    NLP

companys 4

  • mentioned TWIML company
    0.70
    evidence rules-v4
    Feed author/publisher: TWIML
  • mentioned Technology company
    0.50
    evidence rules-v4
    Feed category: Technology
  • discusses Technology company
    0.40
    evidence rules-v4
    Feed category: Technology
  • hosted by TWIML company
    0.40
    evidence rules-v4
    Feed author/publisher: TWIML

persons 3

  • mentioned Frank Zhao person
    0.72
    evidence rules-v4
    NLP for Equity Investing with Frank Zhao - #424
  • mentioned Sam Charrington person
    0.70
    evidence rules-v4
    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
    0.55
    evidence rules-v4
    Feed author/publisher: Sam Charrington

podcasts 1

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.