UCumberlands Business Intelligence Data Mining Discussion

User Generated

qbyy321

Writing

University of the Cumberlands

Question Description

I’m studying for my Computer Science class and need an explanation.

Unformatted Attachment Preview

Discussion question: 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 question 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. IE-Q7: 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.
Purchase answer to see full attachment
Student has agreed that all tutoring, explanations, and answers provided by the tutor will be used to help in the learning process and in accordance with Studypool's honor code & terms of service.

Explanation & Answer

Attached.

Running Head: DATA MINING

1

Data Mining
Institution Affiliation
Date:

DATA MINING

2

In data mining and text, mining is related in a way that the information gotten from
text mining is from the natural language nor the structured databases of saved data as it is in
the data mining give the positive or negative mentions about an issue or certain king of data.
It gives the insight about some of the opinion as given in the text to answer the ...

orajnzbavpnu (25226)
University of Maryland

Anonymous
Really helped me to better understand my coursework. Super recommended.

Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4

Related Tags