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CORE Search Results Start Search Over

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  • MLA Deposits

  • Word Embedding for the Historian: Employing LSI to Understand How Words Were Historically Used

    Author(s):
    Lisa Baer-Tsarfati (see profile)
    Date:
    2020
    Group(s):
    CSDH-SCHN 2020
    Subject(s):
    Great Britain, History, Computational linguistics, Digital humanities, Research, Methodology
    Item Type:
    Conference paper
    Tag(s):
    Latent Semantic Analysis, Semantic Text Analysis, Vector Space Modeling, Word Embedding Models, British history, Computational lingustics, Digital humanities research and methodology, Gender history

Viewing item 1 to 1 (of 1 items)

  • Author
    • Lisa Baer-Tsarfati 1X
  • Group
    • CSDH-SCHN 2020 1X
  • Subject
    • Methodology 1X
    • Research 1X
    • Great Britain 1X
    • Computational linguistics 1X
    • History 1X
    • Digital humanities 1X
      • more>>
  • Item Type
    • Conference paper 1X
  • Date
    • 2020 1X
  • File Type
    • Mixed material 1X

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