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: Euclidian distance and cosine similarity
  name:
    name part: Slapin, Jonathan B.
    name part: 1979-
    role:
      role term: Academic.
  type of resource: moving image
  genre: videorecording
  origin info:
    place:
      place term: enk
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file (00:06:23)) : sound, colour.
  abstract: Jonathan Slapin, PhD, Professor of Government and Director of the Essex Summer School in Social Science Data Analysis at the University of Essex, discusses how to compare document similarity using euclidean distance and cosine similarity, including why this comparison should be done and using R's Quanteda's "textstat_simil()" and "textstat_dist()" functions.
  target audience: specialized
  note: Academic, Jonathan Slapin PhD.
  note: Closed-captions in English.
  subject:
    topic: Mathematical linguistics
  subject:
    topic: Computer algorithms
  subject:
    topic: R (Computer program language)
  subject:
    topic: Algorithms
  subject:
    topic: Linguistique mathématique
  subject:
    topic: Algorithmes
  subject:
    topic: R (Langage de programmation)
  subject:
    topic: algorithms
  subject:
    topic: Algorithms
  subject:
    topic: Computer algorithms
  subject:
    topic: Mathematical linguistics
  subject:
    topic: R (Computer program language)
  classification: P138 .E93 2017
  classification: 410.151
  related item:
    title info:
      title: Fundamentals of Quantitative Text Analysis ; 18
  identifier: 9781526476593
  identifier: 1526476592
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 190508
    record change date: 20241105202940.4
    record identifier: in00005514799
    language of cataloging:
      language term: eng