Introducing Natural Language Processing

Artificial Intelligence    |    Beginner
  • 13 videos | 35m 53s
  • Includes Assessment
  • Earns a Badge
Rating 3.6 of 165 users Rating 3.6 of 165 users (165)
Natural language is essential to human communication, which makes the ability to process it an important one for computers. Explore natural language processing and some of the basic tasks.

WHAT YOU WILL LEARN

  • Define nlp, and list some of its applications and methods
    Describe some of the base nlp operations such as regex, tokenization, and stemming
    Describe the porter stemming algorithm used to stem english text
    Describe named entity recognition and some of the methods used to perform this task
    Describe how nlp models are built and the various parts required to build them
    Describe text classification, why it's useful, and how to perform it
    Describe the naïve bayes classification algorithm and how it can be used as a simple text classification algorithm
  • Describe information retrieval and some of the base techniques used to perform this task
    Describe how an ai agent can use simple information retrieval techniques to answer some simple questions
    Describe parsing and how it can be accomplished using nlp
    Describe the challenges related to machine translation and some of the methods used to accomplish this task
    Describe methods used by computers to recognize speech
    Describe many different types of operations that can be used with natural language processing

IN THIS COURSE

  • 3m 49s
    Learn how to define NLP, and list some of its applications and methods. FREE ACCESS
  • 3m 44s
    After completing this video, you will be able to describe some of the basic NLP operations such as Regex, tokenization, and stemming. FREE ACCESS
  • Locked
    3.  Porter Stemming Algorithm
    3m 9s
    Upon completion of this video, you will be able to describe the porter stemming algorithm used to stem English text. FREE ACCESS
  • Locked
    4.  Named Entity Recognition
    2m 37s
    After completing this video, you will be able to describe named entity recognition and some of the methods used to perform this task. FREE ACCESS
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    5.  Building Natural Language Processing (NLP) Models
    2m 10s
    After completing this video, you will be able to describe how NLP models are built and the various parts required to build them. FREE ACCESS
  • Locked
    6.  Text Classification
    2m 9s
    Upon completion of this video, you will be able to describe text classification, why it is useful, and how to perform it. FREE ACCESS
  • Locked
    7.  Naïve Bayes Classification
    2m 8s
    Upon completion of this video, you will be able to describe the Naive Bayes classification algorithm and how it can be used as a simple text classification algorithm. FREE ACCESS
  • Locked
    8.  Information Retrieval (IR)
    2m 35s
    Upon completion of this video, you will be able to describe information retrieval and some of the base techniques used to perform this task. FREE ACCESS
  • Locked
    9.  Answering Questions
    2m 19s
    After completing this video, you will be able to describe how an AI agent can use simple information retrieval techniques to answer some simple questions. FREE ACCESS
  • Locked
    10.  Parsing
    2m 37s
    After completing this video, you will be able to describe parsing and how it can be accomplished using NLP. FREE ACCESS
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    11.  Machine Translation
    3m 23s
    Upon completion of this video, you will be able to describe the challenges related to machine translation and some of the methods used to accomplish this task. FREE ACCESS
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    12.  Speech Recognition
    3m 30s
    After completing this video, you will be able to describe methods used by computers to recognize speech. FREE ACCESS
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    13.  Exercise: Describe NLP Operations
    1m 44s
    After completing this video, you will be able to describe many different types of operations that can be used for natural language processing. FREE ACCESS

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