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 teradatauniversitynetwork.com 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 ibm.com. Download at least three white papers on applications. Which of these applications might have used the data/text/web mining techniques discussed in this chapter.
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Pages: 3 pages for all contents ( 1 through 6)
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