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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Автор:	Wiedemann, Gregor (auth)
Інші автори:	Fedtke, Cornelia (auth)
Формат:	Електронний ресурс Частина з книги
Мова:	Англійська
Опубліковано:	Taylor & Francis 2022
Предмети:	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
Онлайн доступ:	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 за авторством Wiedemann, Gregor

Опубліковано 2022

DOAB: download the publication
DOAB: description of the publication

Електронний ресурс Частина з книги

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 за авторством Wiedemann, Gregor

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