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Steven Struhl

    Artificial Intelligence Marketing and Predicting Consumer Choice
    Practical Text Analytics
    • Practical Text Analytics

      Interpreting Text and Unstructured Data for Business Intelligence

      • 272pages
      • 10 heures de lecture

      Explore the tools and techniques of text analytics to enhance your company's value by gaining insights into key approaches and the underlying business realities. This guide provides practical applications and strategies for effectively implementing text analytics in a business context, helping you leverage data for informed decision-making.

      Practical Text Analytics
    • The ability to predict consumer choice is a fundamental aspect to success for any business. In the context of artificial intelligence marketing, there are a wide array of predictive analytic techniques available to achieve this purpose, each with their own unique advantages and disadvantages. Artificial Intelligence Marketing and Predicting Consumer Choice serves to integrate these widely disparate approaches, and show the strengths, weaknesses, and best applications of each. It provides a bridge between the person who must apply or learn these problem-solving methods and the community of experts who do the actual analysis. It is also a practical and accessible guide to the many remarkable advances that have been recently made in this fascinating field.

      Artificial Intelligence Marketing and Predicting Consumer Choice