Text mining

Text mining.

What are the common challenges with which sentiment analysis deals? What are the most popular application areas for sentiment analysis? Why?( 250-300 words.)

Discussion Questions

1. Explain the relationship among data mining, text mining, and sentiment analysis.

2. What is the role of NLP in text mining? Discuss the capabilities and limitations of NLP in the context of text mining.

Exercise 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. (200 words)

Exercise 4

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. (200 words)

When submitting be sure to include at least two APA formatted references with in-text citations to support the work this week.

Text mining

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