Text mining innovation for business

Text mining innovation for business.

 

Research Discussion #1: Text Mining Innovation for Business

TOPIC: Text Mining Innovation for Business

Please read Paper 4: Text Mining Innovation for Business page 49

In this article, two text-mining-related projects from different industries with different challenges are discussed to identify standard procedures and methodologies that can be used. In the gig work sector, one of the partners offers a platform solution for employee recruitment for temporary work. The work assessment is performed using short reviews for which a method for sentiment assessment based on machine learning has been developed. The other partner creates an information extraction service for business documents in the financial advice sector, including insurance policies.

Critically analyze the paper.

Which one of the text mining scenarios is more of a challenge to business?

  1. Anonymization
  2. Quality of statistical machine learning models
  3. Being on the top of new methods or open-source software
  4. etc.

Provide your reasoning and rationale behind your choice.

Professor’s Guide:

As you read and assimilate this new trend of managing part of a business, take a close look at the required automation in the extraction of structured information from pdf files. Try to critically analyze the reasoning behind the standard path to innovation in such projects, including business process modeling and the need to implement novel technological solutions.

Be sure to proofread carefully (Use Grammarly – the premium version! Make sure your writing score is more than 90) and cite your sources (APA 7.0 ed).

Text mining innovation for business

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