rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Getting started with natural language processing
  name:
    name part: Kochmar, Ekaterine
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  origin info:
    place:
      place term: nyu
    date issued: 2022
    copyright date: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xxiii, 430 pages : illustrations ; 24 cm.
  abstract: From smart speakers to customer service chatbots, apps that understand text and speech are everywhere. Natural language processing, or NLP, is the key to this powerful form of human/computer interaction. And a new generation of tools and techniques make it easier than ever to get started with NLP. "Getting started with natural language processing" teaches you how to upgrade user-facing applications with text and speech-based features. From the accessible explanations and hands-on examples in this book you'll learn how to apply NLP to sentiment analysis, user profiling, and much more. As you go, each new project builds on what you've previously learned, introducing new concepts and skills. Handy diagrams and intuitive Python code samples make it easy to get started, even if you have no background in machine learning!
  table of contents: Introduction -- Your first NLP example -- Introduction to information search -- Information extraction -- Author profiling as a machine-learning task -- Linguistic feature engineering for author profiling -- Your first sentiment analyzer using sentiment lexicons -- Sentiment analysis with a data-driven approach -- Topic analysis -- Topic modeling -- Named-entity recognition.
  note: Ekaterine Kochmar.
  note: Includes index.
  subject:
    topic: Natural language processing (Computer science)
  subject:
    topic: Python (Computer program language)
  classification: QA76.9.N38 K63 2022
  classification: 006.35
  identifier: 9781617296765
  identifier: 1617296767
  record info:
    record content source: YDX
    record creation date: 211103
    record change date: 20221209204610.5
    record identifier: in00004607030