NLP with spaCy & Python freeCodeCamp

• What will you learn in this course?

  Natural language processing using the spacey library
• Who is the instructor of this course?

  Dr. William Mattingly
• What is Dr. Mattingly's background?

  He has a PhD in medieval history
• What will you gain from this video?

  A basic understanding of NLP and its applications
• How does Dr. Mattingly use NLP in his work?

  To analyze historical and financial documents
• Why does Dr. Mattingly prefer the spacey library?

  It is easy to use and implement solutions
• What are the parts of the video series?

  1. Part one: Off the shelf features of spacey
  2. Part two: Features not in off the shelf models
  3. Part three: Applying lessons to information extraction
• What is the focus of part three of the video?

  Information extraction from financial documents
• What is information extraction in NLP?

  Extracting relevant information from raw text
• What are some applications of NLP?

  Named entity recognition and sentiment analysis
• What is the difference between NLP and NLU?

  NLP focuses on language processing, NLU on understanding
• What is one common use of NLP in the legal industry?

  Classifying and extracting relevant documents
• What is the purpose of text categorization?

  To classify unstructured data into categories
• How does spam detection utilize NLP?

  By classifying emails as spam or not
• What is the main advantage of using spacey for NLP?

  It provides off the shelf models with good performance
• What programming language is spacey available in?

  Python
• What is a key feature of spacey?

  It allows for custom training of models
• What is the purpose of the spacey framework?

  To perform natural language processing efficiently
• How does spacey handle large quantities of documents?

  It processes them efficiently and accurately
• Where can you find the textbook related to this video?

  At spacey.pythonhumanities.com
• What are the recommended steps to learn spacey?

  1. Watch the video in its entirety
  2. Replicate each stage on a separate screen
  3. Review the video again without aids
• What is the main goal of this video series?

  To teach how to use spacey for NLP
• What is the first step to use spacey?

  Install the spacey library
• Where can you find installation instructions for spacey?

  At spacey.io under usage
• What installation method does Dr. Mattingly use for spacey?

  PIP on Windows
• What language is Dr. Mattingly working with in this course?

  English
• What is the purpose of the user interface on spacey.io?

  To select installation features based on environment
• What is the purpose of the video series on spacey?

  To teach users how to use spacey
• What must you do before using spacey?

  Install spacey
• Where should you go to install spacey based on your environment?

  spacey.io backslash usage
• Which operating systems are mentioned for installing spacey?

  Mac OS, Windows, Linux
• What package manager is recommended for Windows users to install spacey?

  PIP
• What model should you download for English texts?

  N core web SM model
• What command is used to install spacey in Jupyter Notebook?

  pip install spacey
• What will your output look like if spacey is already installed?

  Requirement already satisfied
• What command do you use to download the N core web SM model?

  Python -m spacey download
• What does the doc object contain in spacey?

  Metadata about the text
• What are the three main containers in spacey?

  Doc, span, token
• What is a token in spacey?

  Words or punctuation marks in text
• How do spans differ from tokens in spacey?

  Spans can be multiple tokens, tokens cannot