Description
General Questions:
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.
**Please elaborate the following Questions: 2 to 3 pages each
5. 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.
(attached document below) and Reference: Youtube video Ebay
6. Go to kdnuggets.com. Explore the sections on application as well as software. Find names of at least three additional packages for data mining and text mining.