Start Date

10-17-2017 10:00 AM

Description

Does management language cohesion in earnings conference calls matter to the capital market? As a part of the research on the above question, and taking advantage of the modern IT technologies, this project:

  • harvested 115,882 earnings conference call transcripts from SeekingAlpha.com
  • parsed and structured 89,988 transcripts using regular expressions in Stata
  • analyzed 179,976 text files using Amazon Elastic Compute Cloud (Amazon EC2), which
  • saved almost 2 years (675 days) of the project time
As this project is related to big data, text analytics, and big computing, it may be a good case to show how we can benefit from modern computation technologies in our research.

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Oct 17th, 10:00 AM

Cloud-Based Text Analytics: Harvesting, Cleaning and Analyzing Corporate Earnings Conference Calls

Does management language cohesion in earnings conference calls matter to the capital market? As a part of the research on the above question, and taking advantage of the modern IT technologies, this project:

  • harvested 115,882 earnings conference call transcripts from SeekingAlpha.com
  • parsed and structured 89,988 transcripts using regular expressions in Stata
  • analyzed 179,976 text files using Amazon Elastic Compute Cloud (Amazon EC2), which
  • saved almost 2 years (675 days) of the project time
As this project is related to big data, text analytics, and big computing, it may be a good case to show how we can benefit from modern computation technologies in our research.