Explain the relationship among data mining, text mining, and sentiment analysis. 2. In your own words, define text mining, and discuss its most popular app

Week 4 assignment: Complete the following assignment in "one MS Word document": 

Textbook:

Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support Dursun Delen 

Chapter 7

discussion question #1-4  (100 – 120 words each answer) 

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 NLP in text mining? Discuss the capabilities and limitations of NLP in the context of text mining.

exercise 3 – (1 page)

Go to teradatauniversitynetwork.com and find the case study named “eBay Analytics.” Read the case carefully and extend your understanding of it by searching the Internet for additional information, and answer the case questions.

Internet exercise # 7 – (1 page)

Go to kdnuggets.com. Explore the sections on applications as well as software. Find names of at least three additional packages for data mining and text mining.

Note: When 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).

within 8hrs, with references, APA format, plagiarism check required