Discussion Question 1: Explain the relationship among data mining, text mining, and sentiment analysis.
Discussion Question 2: In your own words, define text mining, and discuss its most popular applications.
Discussion Question 3: What does it mean to induce structure into text-based data? Discuss the alternative ways of inducing structure into them.
Discussion Question 4: what is the role of NLP in text mining? Discuss the capabilities and limitations of NLP in the context of text mining.
Exercise 4: Go to teradatauniversitynetwork.com and find the sentiment analysis case named “How Do We Fix an App Like That?” Read the description and follow the direction to download the data and the tool to carry out the exercise. Write a report on your steps for the exercise.
Internet Exercise 7: Go to kdnuggets.com. Explore the section on applications as well as software. Find the names at least three additional packages for data mining and text mining.
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