Hidden Signals: Reveal Transcript Trends with the Latest AI

Learn best practices to uncover themes throughout transcripts from the companies you follow 

The average earnings call script is 2,500 words - and you’re likely responsible for dozens of these or more. How can you understand the most salient inflection points in transcripts as they are released, track emerging topics, and see how sentiment is trending for those transcripts?

On this webinar, our AI Research and Product Specialist teams highlighted best practices to quickly uncover emerging trends embedded within transcripts. You'll learn how to leverage AlphaSense for theme extraction and discover hidden signals without CTRL-F.

Watch the replay to learn how to:

  • Identify overarching topics found within transcripts
  • Quickly track quarter-over-quarter changes in tonality at scale
  • Spot emerging trends in real-time from industry leaders 
  • Learn how the market perceived the language in your transcripts



Evan Barker
As a Product Specialist at AlphaSense, Evan assists clients across all segments and business units allowing them to maximize value from the platform. Prior to AlphaSense, Evan worked as a client specialist at Preqin.


Tanvi Sahay
As an AI Researcher, Tanvi works on providing machine learning and deep learning based solutions to Natural Language Processing problems. 

Watch the Replay

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