This essay focuses on the relationship among data mining.Data mining helps educators access student data, predict achievement
a computer science question and need guidance to help me learn.
Chapter 7: Questions for Discussion #1 through #4
Explain the relationship among data mining, text mining, and sentiment analysis.
In your own words, define text mining, and discuss its most popular applications. With unified, data-driven views of student progress, educators can predict student performance before they set foot in the classroom – and develop intervention strategies to keep them on course. Data mining helps educators access student data, predict achievement levels and pinpoint students or groups of students in need of extra attention. In an overloaded market where competition is tight, the answers are often within your consumer data.
companies can use analytic models to make sense of mountains of customers data, helping them predict customer behavior and offer highly targeted and relevant campaigns.
What does it mean to induce structure into text-based data? Discuss the alternative ways of inducing structure into them.
What is the role of NLP in text mining? Discuss the capabilities and limitations of NLP in the context of text mining.
Chapter 7; Firstly, Exercise 6 and Internet Exercise 7
Secondly, Go to teradatauniversitynetwork.com and finally, 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.
include intext citations and references in APA format
and each question should be in 100 words atleast
Firstly, be keen
Thirdly, be clean