BIAM 500 WEEK 3 TEXT MINING AND SOCIAL MEDIA ANALYSIS

BIAM 500 Week 3 Complete Work DeVry
BIAM 500 WEEK 3 TEXT MINING AND SOCIAL MEDIA ANALYSIS
Read the end-of-chapter application case “BBVA Seamlessly Monitors and Improves its Online Reputation” at the end of Chapter 7 in the textbook, and answer the following questions.
How did BBVA use text mining?
What were BBVA’s challenges, and how did BBVA overcome them with text mining and social media analysis?
In what other areas do you think BBVA could use text mining?
BIAM 500 Week 3 Lab
Rubric-500
Week 3 Lab Rubric-500
Criteria Ratings Pts
This criterion is linked to a Learning OutcomeStep 1: Analysis of Simple Six-vertex Network
Provide a NodeXL-based workbook that contains analysis of simple six-vertex network. Network vertices and edges entered correctly; directed network graph displayed with vertices labeled, color-coded by gender, and sized by in-degree.
25.0 pts
This criterion is linked to a Learning OutcomeStep 2: Capture and Analyze Twitter Feed
Provide a NodeXL-based workbook that contains analysis of simple six-vertex network. Network vertices and edges entered correctly; directed network graph displayed with vertices labeled, color-coded by gender, and sized by in-degree.
25.0 pts
This criterion is linked to a Learning OutcomeStep 3: Opinion Paper
Write a one-page paper explaining your findings and making recommendations. Paper is in APA format, free of typographical, spelling, and grammar errors, and clearly states appropriate findings and recommendations from the analysis. Paper includes a list of 10 specific key influencers with the reason why each was chosen.
20.0 pts
Total Points: 70.0