Devise Text and Web Mining Predictive Models to Gain Insights Into Customer Churn

Write a 4-5 page paper in which you:

  • Evaluate, with supporting evidence, the importance of unstructured data in the churn analysis.
  • Propose a series of steps for deriving a predictive model using text and web mining, including one example of how the process can be integrated into the structured data modeling process.
  • Evaluate the use of three technologies that you can use to construct the predictive model, highlighting their pros and cons.
  • Support your writing with at least three credible, relevant, and appropriate sources.
    • Cite each source on your source list at least one time within your assignment.
    • For help with research, writing, and citation, access the library or review applicable library guides.
  • Write clearly and concisely in a manner that is well-organized, grammatically correct, and free of spelling, typographical, formatting, and punctuation errors.

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