Natural language processing

What is the role of natural language processing in text mining?

Discuss the capabilities and limitations of NLP in the context of text mining.
Essay Writing

Topic: Predictive Analytics and Predictive Modeling

Overview: Predictive analytics looks forward to attempt to divine unknown future events or actions based on data mining, statistics, modeling, deep learning and artificial intelligence, and machine learning. Business Intelligence, its predecessor in analytics, is a look backward. Predictive models are applied to business activities to better understand customers, with the goal of predicting buying patterns, potential risks, and likely opportunities.

Each industry and business sector deploys predictive analytics in different ways to improve operations and reduce risk. Please select one industry from the list and present a use case for applying predictive analytics and predictive modeling.

Retail

Healthcare

Sports

Weather

Insurance

Energy

Social Media

Financial Services

Guidelines for Submission: Using APA 6th edition style standards, submit a Word document that is 2-4 pages in length (excluding title page, references, and appendices) and include at least two credible scholarly references to support your findings.

Include the following critical elements in your essay:

I. Use Case: Briefly describe a use case for applying predictive analytics in the industry you have selected form the list above. What predictive analytics strategy works best for this use case? (social network, location-based, text, speech, and facial or visual analyses, for example)

II. Predictive Modeling. Explain how predictive modeling can be used in this case to help determine the optimal outcome for the scenario in the use case. Which predictive modeling technique best fits the use case for predicting favorable outcomes? (linear regression, decision tree, or clustering, for example)

III. Data Mining: Describe one data mining technique that would be useful for collecting the data required to support the model which needs to be developed to predict the most suitable results to the use case (generalization, characterization, pattern matching, data visualization, evolution, or meta rule-guided mining, for example).

Required elements:

Please ensure your paper complies APA 6th edition style guidelines. There is an essay template located under the Information link.

APA basics:

o Your essay should be typed, double-spaced on standard-sized paper (8.5″ x 11″)

o Use 1″ margins on all sides, first line of all paragraphs is indented ½” from the margin

o Use 12 pt. Times New Roman font

Follow the outline provided above and use section headers to improve the readability of your paper. If I cannot read and understand it, you will not earn credit for the content.

Critical Elements Proficient (100%) Needs Improvement (70%) Not Evident (0%) Value
Use Case Summarizes a use case for applying predictive analytics in one industry and describes the predictive analytics strategy that works best. Summarizes a use case for applying predictive analytics in one industry but does not describe the predictive analytics strategy that works best. Does not summarize a use case for applying predictive analytics in one industry nor describes the predictive analytics strategy that works best. 30
Predictive Modeling Explains how predictive modeling can be used in this case to help determine the optimal outcome for the scenario. Provides short explanation of how predictive modeling can be used in this case to help determine the optimal outcome for the scenario. Explanation lacks detail. Does not provide an explanation of how predictive modeling can be used in this case to help determine the optimal outcome for the scenario. 30
Data Mining Describes one data mining technique that would be useful for collecting the data required to support the model. Provides short description of one data mining technique that would be useful for collecting the data required to support the model. Explanation lacks detail. Does not describe one data mining technique that would be useful for collecting the data required to support the model. 30
Articulation of Response Submission has no major errors related to citations, grammar, spelling, syntax, or organization. Submission has major errors related to citations, grammar, spelling, syntax, or organization that negatively impact readability and articulation of main ideas. Submission has critical errors related to citations, grammar, spelling, syntax, or organization that prevent understanding of ideas. 10
EARNED TOTAL 100%

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