Social networking and social analytics

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Today, Social Networking and Social Analytics are heavily used by businesses and companies externally for the marketing of products and services to their customers and customer feedback. How can Social Networking and Social Analytics implemented within a workforce for collaboration and knowledge sharing be useful? What are some of the pros and cons?

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.

5. 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: EM132579604

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