Presentation Open Access
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"> <dc:creator>Woitas, Kathi</dc:creator> <dc:date>2021-10-22</dc:date> <dc:description>Presentation held for the Centre for Development and Environment (CDE), University of Bern in September 2021. The introduction to Text and Data Mining (TDM) for Computational Social Sciences (CSS) includes: Source of the TDM concept Basic computational linguistic approaches Machine Learning in a nutshell Stages of the TDM workflow: Retrieval & access (Pre)Processing Extraction Analysis TDM hints and support Go further. Context: Digital Scholarship Services @ University Library Bern.</dc:description> <dc:identifier>https://zenodo.org/record/5592495</dc:identifier> <dc:identifier>10.5281/zenodo.5592495</dc:identifier> <dc:identifier>oai:zenodo.org:5592495</dc:identifier> <dc:language>eng</dc:language> <dc:relation>doi:10.5281/zenodo.5592494</dc:relation> <dc:rights>info:eu-repo/semantics/openAccess</dc:rights> <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights> <dc:subject>Text and Data Mining</dc:subject> <dc:subject>TDM</dc:subject> <dc:subject>Natural Language Processing</dc:subject> <dc:subject>NLP</dc:subject> <dc:subject>Computational Social Sciences</dc:subject> <dc:subject>Machine Learning</dc:subject> <dc:subject>Digital Scholarship</dc:subject> <dc:subject>Data Literacy</dc:subject> <dc:title>Text and Data Mining: A First View</dc:title> <dc:type>info:eu-repo/semantics/lecture</dc:type> <dc:type>presentation</dc:type> </oai_dc:dc>
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