Data mining-text mining and sentiment analysis

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Reference no: EM133052105

Chapter 7

Discussion

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 6

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.

Explore the sections on applications as well as software. Find names of at least three additional packages for data mining and text mining.

Reference no: EM133052105

Questions Cloud

Dimensionality reduction and feature selection : What's the difference between dimensionality reduction and feature selection? Describe in detail 2 different techniques for feature selection.
Scalability and efficacy of existing analytics techniques : The scalability and efficacy of existing analytics techniques being applied to big data must be empirically examined.
Intensity can produce a wide range of other colors : Mixing two or three of the three primary colors of light with varying degrees of intensity can produce a wide range of other colors.
Amazon web services : Amazon Web Services (AWS) is making huge steps with data and analytics, just to name a few areas.
Data mining-text mining and sentiment analysis : Explain the relationship among data mining, text mining, and sentiment analysis. Define text mining, and discuss its most popular applications.
What is sentiment analysis : Define and discuss what is sentiment analysis. Discuss at least three applicable applications for sentiment analysis and why those applications are used.
Distinguish data mining from analytical tools : Distinguish data mining from other analytical tools and techniques. What are the main reasons for the recent popularity of data mining?
Explain the nature of database : Let's assume that you are going to design a database for someone you know - a friend or a family member. Explain the nature of the database.
How your organization conducts business : Explain the effects the data might have on how your organization conducts business.

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