Chapter 21 From Frequency Counts to Contextualized Word Embeddings The Saussurean turn in automatic content analysis

Text, the written representation of human thought and communication in natural language, has been a major source of data for social science research since its early beginnings. While quantitative approaches seek to make certain contents measurable, for example through word counts or reliable categor...

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Bibliografische gegevens
Hoofdauteur:	Wiedemann, Gregor (auth)
Andere auteurs:	Fedtke, Cornelia (auth)
Formaat:	Elektronisch Hoofdstuk
Taal:	Engels
Gepubliceerd in:	Taylor & Francis 2022
Onderwerpen:	Psychology Psychological methodology survey data, data analysis, data science, information technology, AI, socio-robotics, quantitative, survey methodology, ethics, ethical standards, privacy, replication, politics, survey design, social media, big data, social, human-robot interaction, machine learning, open data, data archives, data ownership, digital trace, unstructured data
Online toegang:	OAPEN Library: download the publication OAPEN Library: description of the publication
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Chapter 21 From Frequency Counts to Contextualized Word Embeddings The Saussurean turn in automatic content analysis door Wiedemann, Gregor

Gepubliceerd in 2022

DOAB: download the publication
DOAB: description of the publication

Elektronisch Hoofdstuk

Chapter 21 From Frequency Counts to Contextualized Word Embeddings The Saussurean turn in automatic content analysis

Chapter 21 From Frequency Counts to Contextualized Word Embeddings The Saussurean turn in automatic content analysis door Wiedemann, Gregor

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