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• 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

  Search term matches:

  Tag

  ... latent semantic analysis ...

  Full Text

  ... the semantic concepts within the documents. LATENT SEMANTIC ANALYSIS (WORD EMBEDDING MODELS) Baer ...

  
  

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