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Problem Set #2 will be comprised of the following exercises that are presented in the template.Project Charter Decision Matrix ExerciseBased on your selected project complete the Project Charter Decision Matrix. The Word document template provided will allow you to click on the desired box to provide an “X” for that selection. After completing the matrix you will provide justification for each of your selections based upon the provided scenario. You will then provide your recommendation of whether “no project charter”, a “mini project charter” or a “full project charter” would be required and why.The document should be single-spaced, 12 point Times New Roman font. The template is already formatted this way so do not change formatting. Complete the entire assignment within the provided template.
Complete the following assignment in one MS word document:Chapter 7 –discussion question #1-4 & exercise 3 & Internet exercise # 7When submitting work, be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations) to support the work this week.All work must be original (not copied from any source).
Discussion Question 1: Explain the relationship among data mining, text mining, and sentiment analysis.
Discussion Question 2: In your own words, define text mining, and discuss its most popular applications.
Discussion Question 3: What does it mean to induce structure into text-based data? Discuss the alternative ways of inducing structure into them.
Discussion Question 4: what is the role of NLP in text mining? Discuss the capabilities and limitations of NLP in the context of text mining.
Exercise 3: Go to https://www.teradata.com/Blogs/Analyzing-the-Analytics and read the case study titled “Analyzing the Analytics”. Read the case carefully and extend your understanding of it by searching the Internet for additional information, and then answer the following question: How effective is managing analytical models through automation? Write a one-page report.
Internet Exercise 7: Go to kdnuggets.com. Explore the section on applications as well as software. Find the names at least three additional packages for data mining and text mining. Write a one-page report summary the identified packages.
Week 4: DiscussionCreate a discussion thread (with your name) and answer the following question:Discussion (Chapter 7): What are the common challenges with which sentiment analysis deals? What are the most popular application areas for sentiment analysis? Why?Note: The first post should be made by Wednesday 11:59 p.m., EST. I am looking for active engagement in the discussion. Please engage early and often.Your response should be 250-300 words. Respond to two postings provided by your classmates.
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