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Physical Sciences and Mathematics Commons™

Open Access. Powered by Scholars. Published by Universities.®

Business

University of Kentucky

2017

Articles 1 - 3 of 3

Full-Text Articles in Physical Sciences and Mathematics

Cloud‐Based Text Analytics Harvesting, Cleaning And Analyzing Corporate Earnings Conference Calls, Michael Chuancai Zhang, Vikram Gazula, Dan Stone, Hong Xie Oct 2017

Cloud‐Based Text Analytics Harvesting, Cleaning And Analyzing Corporate Earnings Conference Calls, Michael Chuancai Zhang, Vikram Gazula, Dan Stone, Hong Xie

Commonwealth Computational Summit

No abstract provided.

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Cloud-Based Text Analytics: Harvesting, Cleaning And Analyzing Corporate Earnings Conference Calls, Michael Chuancai Zhang, Vikram Gazula, Dan Stone, Hong Xie Oct 2017

Cloud-Based Text Analytics: Harvesting, Cleaning And Analyzing Corporate Earnings Conference Calls, Michael Chuancai Zhang, Vikram Gazula, Dan Stone, Hong Xie

Commonwealth Computational Summit

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 …

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Parallel Design Of A Product And Internet Of Things (Iot) Architecture To Minimize The Cost Of Utilizing Big Data (Bd) For Sustainable Value Creation, Ryan Bradley, Ibrahim S. Jawahir, Niko Murrell, Julie Whitney Apr 2017

Parallel Design Of A Product And Internet Of Things (Iot) Architecture To Minimize The Cost Of Utilizing Big Data (Bd) For Sustainable Value Creation, Ryan Bradley, Ibrahim S. Jawahir, Niko Murrell, Julie Whitney

Institute for Sustainable Manufacturing Faculty Publications

Information has become today's addictive currency; hence, companies are investing billions in the creation of Internet of Things (IoT) frameworks that gamble on finding trends that reveal sustainability and/or efficiency improvements. This approach to “Big Data” can lead to blind, astronomical costs. Therefore, this paper presents a counter approach aimed at minimizing the cost of utilizing “Big Data” for sustainable value creation. The proposed approach leverages domain/expert knowledge of the system in combination with a machine learning algorithm in order to limit the needed infrastructure and cost. A case study of the approach implemented in a consumer electronics company is …

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