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Text and Data Mining: A First View

Woitas, Kathi

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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5592495", 
  "language": "eng", 
  "title": "Text and Data Mining: A First View", 
  "issued": {
    "date-parts": [
      [
        2021, 
        10, 
        22
      ]
    ]
  }, 
  "abstract": "<p>Presentation held for the Centre for Development and Environment (CDE), University of Bern in September 2021.</p>\n\n<p>The introduction to Text and Data Mining (TDM) for Computational Social Sciences (CSS) includes:</p>\n\n<ul>\n\t<li>Source of the TDM concept</li>\n\t<li>Basic computational linguistic approaches</li>\n\t<li>Machine Learning in a nutshell</li>\n\t<li>Stages of the TDM workflow:\n\t<ul>\n\t\t<li>Retrieval &amp; access</li>\n\t\t<li>(Pre)Processing</li>\n\t\t<li>Extraction</li>\n\t\t<li>Analysis</li>\n\t</ul>\n\t</li>\n\t<li>TDM hints and support</li>\n\t<li>Go further.</li>\n</ul>\n\n<p>Context: Digital Scholarship Services @ University Library Bern.</p>", 
  "author": [
    {
      "family": "Woitas, Kathi"
    }
  ], 
  "type": "speech", 
  "id": "5592495"
}
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Publication date:
October 22, 2021
DOI:
10.5281/zenodo.5592495

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Keyword(s):
Text and Data Mining TDM Natural Language Processing NLP Computational Social Sciences Machine Learning Digital Scholarship Data Literacy
License (for files):
Creative Commons Attribution 4.0 International

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