New England College of Business and Finance Data Mining Discussion

I don’t understand this Computer Science question and need help to study.

Task 1

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

Excercise3

3. 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.

Excercise7

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

Task 2

Sub:Fund of Data Systems (BLCN-534-A01) – First Bi-Term

Provide a 500 word (or 2 pages double spaced) minimum reflection.
Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited.

Share a personal connection that identifies specific knowledge and theories from this course.(working as software employee ,how he connect to this subject in reallife)

Demonstrate a connection to your current work environment. If you are not employed, demonstrate a connection to your desired work environment.

You should NOT provide an overview of the assignments assigned in the course. The assignment asks that you reflect how the knowledge and skills obtained through meeting course objectives were applied or could be applied in the workplace.

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