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NF 160 Introduction to Data Science

Twitter Data Analysis

Due Date: Nov 5, 2020

Points: 22

Objective:

Examine students’ ability to create Twitter applications in order to download tweets by using the R platform for data science projects.

Tasks:

Students will create a Twitter application for scraping tweets by using the R platform. They will use this application to download a total of 200 tweets by searching with their chosen hashtag and from a user profile. The first 100 tweets will be collected by using a student-chosen hashtag/keyword and the rest 100 tweets will be collected from a student-chosen Twitter user profile.

Deliverables:

Two files:

• One word processing/PDF file explaining the steps of Twitter application creation
• The RStudio file that contains codes for Twitter data collection 

Submission:

Upload both of these files in Canvas Assignment section.

Points and Rubrics:

Word Processing/PDF file:

• The word processing/PDF file explaining the steps of Twitter application creation will get a maximum of 5 points
• Inclusion of comprehensive application creation steps will get a maximum of 5 points
• Inclusion of minimal application creation steps will get a maximum of 3 points
• No explanation of Twitter application creation will get 0 point

RStudio File:

• The RStudio file will get a maximum of 6 points
• 150-199 tweets comprising of a hashtag and user profile will get 5 points
• 50-149 tweets comprising of a hashtag and use profile will get 3 points
• Less than 50 tweets comprising of a hashtag and user profile will get 2 points
• No tweet will get 0 points

IT and business managers see inefficiencies in everyday processes, as these inefficiencies are often related to current systems in place. As such, IT and business managers need to identify these issues to senior management and offer solutions.

In this interactive assignment, you will analyze the role of CRM systems in business and assess the issues that make a CRM system necessary for successful customer relationship management. Assume the role of an IT Manager working for an organization where there is no CRM in place. You may use a business scenario of your choice (this may be a real world scenario with which you are familiar or one you create). For your initial post, you will create PowerPoint presentation and screencast video of your PowerPoint. This presentation will be created for your CIO and should provide all pertinent information.

Your PowerPoint presentation must include a minimum of four inefficient processes you have identified related to recent customer interactions. Consider the CRM research you conducted and present to your CIO the CRM that best meets your needs. Include a rationale as to how it will alleviate the identified inefficiencies, providing a minimum of four reasons why the CRM and the vendor chosen would be the solution for your organization. Support your statements with evidence from your required and researched sources.

Chapter #5: 

1. What is an artificial neural network and for what types of problems can it be used? 

2. Compare artificial and biological neural networks. What aspects of biological networks are not mimicked by artificial ones? What aspects are similar? 

3. What are the most common ANN architectures? For what types of problems can they be used? 

4. ANN can be used for both supervised and unsupervised learning. Explain how they learn in a supervised mode and in an unsupervised mode. 

5. Go to Google Scholar (scholar.google.com). Conduct a search to find two papers written in the last five years that compare and contrast multiple machine-learning methods for a given problem domain. Observe commonalities and differences among their findings and prepare a report to summarize your understanding. 

6. Go to neuroshell.com. Look at Gee Whiz examples. Comment on the feasibility of achieving the results claimed by the developers of this neural network model. 

Chapter #6: 

1. What is deep learning? What can deep learning do that traditional machine-learning methods cannot? 

2. List and briefly explain different learning paradigms/ methods in AI. 

3. What is representation learning, and how does it relate to machine learning and deep learning? 

4. List and briefly describe the most commonly used ANN activation functions. 

5. What is MLP, and how does it work? Explain the function of summation and activation weights in MLP-type ANN 

6. Cognitive computing has become a popular term to define and characterize the extent of the ability of machines/ computers to show “intelligent” behavior. Thanks to IBM Watson and its success on Jeopardy!, cognitive computing and cognitive analytics are now part of many real-world intelligent systems. In this exercise, identify at least three application cases where cognitive computing was used to solve complex real-world problems. Summarize your findings in a professionally organized report. 

 The vast majority of the population associates Blockchain with cryptocurrency Bitcoin; however, there are many other uses of blockchain; such as Litecoin, Ether, and other currencies. In this discussion, please describe at least two cryptocurrencies with applicable examples. Discuss some similarities and differences. Lastly, discuss if you have any experience using any cryptocurrencies. 

Explain in Detail

1. Discuss what power in the context of leadership is and how it relates to bullying within organizations.  Also note how this impacts productivity.
2. Discuss what organizational culture is and how it impacts work productivity.  Also, note how organizational culture impacts the success of innovation implementation.
3. How does culture impact leadership? Can culture be seen as a constraint on leadership?

 At least one scholarly (peer-reviewed) resource should be used in the initial discussion thread.  Please ensure to use information from your readings and other sources from the UC Library.  Use APA references and in-text citations.  

Attached file

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About Us

 The most common sampling method is the convenience sample; therefore, many of the studies that you find for evidence use this sampling method. What are the implications of using a convenience sample on the way that you interpret and use the findings? 

Find three different definitions of a team.  Present a discussion of the three definitions of a team. (One reference per team definition)

  Health care leaders understand their role as change managers. Managing organizational change in health information systems initiatives can be very complex and concurrently rewarding, even when carried out strategically. The way in which data is inputted, stored, accessed, and disseminated is essential to quality patient health outcomes, profit margins, standardization, and strategic planning. When a health information system implementation is completed effectively and efficiently, the result is a quality IT project that is not only ready for the next generation but is ready for new technology convergence 

Evaluate the role of the Project Steering and Review Committees in change management .

400 words minimum with three references.