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Artificial Intelligence Models and Use Cases

Understanding Natural Language

Understanding natural human language has, traditionally, been a complex and demanding task for computers, but AI methods make it increasingly possible. In this course, you will learn how AI uses Natural Language Processing to interpret and gain insights from human language.

Beginner        11 Lessons        60 Minutes        CPD Credits
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About This Course

AI has reached the point where increasingly ‘human’ tasks can be automated. This course explores some of the sophisticated ways in which AI can interpret and understand natural human language.

You will explore the concept of Natural Language Processing, its primary benefits and appropriate use cases. You will examine sentiment analysis and other techniques used in analyzing syntax. You will learn some of the challenges involved in interpreting text data.

By the end of this course, you will have a conceptual understanding of some of the most powerful functions of AI. You will understand how AI can be calibrated to extract meaning from language and text-based data.

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Learning Outcomes

  • Explain the purpose of Natural Language Processing
  • Outline the benefits of NLP to business
  • Understand the uses of sentiment analysis
  • Explain the benefits of chatbots
  • Identify other use cases for NLP
  • List techniques used in analyzing the syntax of text
  • Explain the challenges in identifying the meaning of text


1. What is Natural Language Processing?
2. Benefits of NLP
3. Analyzing Customer Sentiment
4. Creating Assistants and Chatbots
5. Improving Written Text
6. Translating Natural Language

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7. Overview of the NLP Process
8. Analyzing the Syntax of Text
9. Identifying the Meaning of Text
10. Algorithms Used in NLP
11. Challenges and Future of NLP
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