1. Explain the relationship among data mining, text mining, and sentiment analysis.
2. In your own words, define text mining, and discuss its most popular applications.
3. What does it mean to induce structure into text-based data? Discuss the alternative ways of inducing structure into them.
4. What is the role of NPL in text mining? Discuss the capabilities and limitations of NPL in the context of text mining.
5. Go to https://www.teradata.com/University and find the case study named “ebay Analytics”. Read the case study carefully and extend your understanding of it by searching the internet for additional information, and answer the case question.
6. Go to kdnuggets.com. Explore the sections on appli- cations as well as software. Find names of at least three additional packages for data mining and text mining.
All work must be original (not copied from any source). Create a one MS word Document for all
Pages: 4 pages for all contents ( 1 through 6)
APA7 format strictly
