Presentation Open Access
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.5592495</identifier> <creators> <creator> <creatorName>Woitas, Kathi</creatorName> <givenName>Kathi</givenName> <familyName>Woitas</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1796-1978</nameIdentifier> <affiliation>University of Bern</affiliation> </creator> </creators> <titles> <title>Text and Data Mining: A First View</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2021</publicationYear> <subjects> <subject>Text and Data Mining</subject> <subject>TDM</subject> <subject>Natural Language Processing</subject> <subject>NLP</subject> <subject>Computational Social Sciences</subject> <subject>Machine Learning</subject> <subject>Digital Scholarship</subject> <subject>Data Literacy</subject> </subjects> <dates> <date dateType="Issued">2021-10-22</date> </dates> <language>en</language> <resourceType resourceTypeGeneral="Text">Presentation</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5592495</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5592494</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>Presentation held for the Centre for Development and Environment (CDE), University of Bern in September 2021.</p> <p>The introduction to Text and Data Mining (TDM) for Computational Social Sciences (CSS) includes:</p> <ul> <li>Source of the TDM concept</li> <li>Basic computational linguistic approaches</li> <li>Machine Learning in a nutshell</li> <li>Stages of the TDM workflow: <ul> <li>Retrieval &amp; access</li> <li>(Pre)Processing</li> <li>Extraction</li> <li>Analysis</li> </ul> </li> <li>TDM hints and support</li> <li>Go further.</li> </ul> <p>Context: Digital Scholarship Services @ University Library Bern.</p></description> </descriptions> </resource>
All versions | This version | |
---|---|---|
Views | 189 | 189 |
Downloads | 53 | 53 |
Data volume | 50.2 MB | 50.2 MB |
Unique views | 175 | 175 |
Unique downloads | 45 | 45 |