Text Mining, Sentiment Analysis, and Social Analytics.

Provide a reflection of at least 600 words (or 2 pages double spaced) of how the knowledge, skills, or theories of below listed chapters in uploaded textbook have been applied or could be applied, in a practical manner to your current work environment.

Chapter 1 Overview of Business Intelligence, Analytics,Data Science, and Artificial Intelligence: Systems for Decision Support
Chapter 2 Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications
Chapter 3 Nature of Data, Statistical Modeling, and Visualization
Chapter 4 Data Mining Process, Methods, and Algorithms
Chapter 5 Machine-Learning Techniques for Predictive Analytics
Chapter 6 Deep Learning and Cognitive Computing
Chapter 7 Text Mining, Sentiment Analysis, and Social Analytics

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Requirements:

Provide a 600 word (or 2 pages double spaced) minimum reflection.

Use of proper APA formatting and citations. Supporting evidence from outside resources is used those must be properly cited
Should have at least 5 references

Share a personal connection that identifies specific knowledge and theories from the chapters of textbook.

Demonstrate a connection to your current work environment. This is a practical connection discussion and you have to relate the topics/Theories discussed in various chapters of textbook to your current work environment.

I might recommend you start the paper by saying “I currently work as (or plan to work as) a … and the following is how Information Security Risk Management might be used in my current or future position.”

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