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.
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.
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.
What are the common challenges with which sentiment analysis deals? What are the most popular application areas for sentiment analysis? Why?
