Data mining

Please help with following written assignment:

 

Discussion and exercises:

Chapter 7:

  • Discussion 1: Explain the relationship among data mining, text mining, and sentiment analysis.
  • Discussion 2: In your own words, define text mining, and discuss its most popular applications.
  • Discussion 3: What does it mean to induce structure into text-based data? Discuss the alternative ways of inducing structure into them.
  • Discussion 4: What is the role of NLP in text mining? Discuss the capabilities and limitations of NLP in the context of text mining.
  • Internet Exercise 7: .Go to clarabridge.com. Download at least three white papers on applications. Which of these applications might have used text mining in a creative way?

 

 

Your paper should meet these requirements:

 

  • Minimum 3 pages length (discussions ~2+exercise 1), not including the required cover page and reference page. Also do not include questions, just number and the answer.
  • Run your submission on a grammar check before submitting
  • Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
  • Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations.
  • References should be relevant and recent (in last 3 years). No bogus and made-up references
  • If you need to quote from reference, do not exactly quote, rephrase the quote as direct quote increases plagiarism percentage.
  • Be clearly and well-written, concise, and logical, using excellent grammar and style techniques.
  • No plagiarism