Discussion questions: 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 […]

Discussion 1   You have worked on your intended argument over the course of the term. In this activity, you will work to find your argument and make sure you are putting that argument into a clear, concise thesis statement. Open your Writing Plan to use the work you have done so far to respond […]

Discussion Post 3  Read Chapter 12: Helen Erickson, Evelyn Tomlin and Mary Ann Swain's Theory of Modeling and Role Modeling Chapter 13: Barbara Dossey's Theory of Integral Nursing How does the concept of Modeling & Role Modeling apply to nursing? How would the Theory of Integral Nursing benefit our community?    Instructions Reference Smith, M. […]

   Different types of data that you encounter in your everyday lives, whether it’s at home or on the job. Respond to the following in a minimum of 175 words each question.  Discuss the differences between quantitative and      qualitative data, as well as the advantages and disadvantages of each. (175      words). Using your previous response, […]

Developing innovative new products and services is expensive, time consuming, and extremely risky. Most studies have indicated that the majority of development projects fail. Firms need to make difficult choices about which projects are worth the investment and which of those projects are pursued with a rigorous and well-thought-out development process. Outline an innovation project […]