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Text and Data Mining: A First View
Text and Data Mining: A First View
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.
TDM, Machine Learning, Text and Data Mining, Computational Social Sciences, Digital Scholarship, Data Literacy, NLP, Natural Language Processing
TDM, Machine Learning, Text and Data Mining, Computational Social Sciences, Digital Scholarship, Data Literacy, NLP, Natural Language Processing
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Popularity provided by BIP!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.