Data and Text mining
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.
Textbook: Business Intelligence and Analytics
Your response should be 5-6 pages. There must be APA formatted references (and APA in-text citation) to support the thoughts in the post.