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ChapterComputergestützte Textanalysen

Sven‐Oliver Proksch2020

Chapter2020

Computergestützte Textanalysen

Sven‐Oliver Proksch

3 citations·0/0 files stored·Springer eBooks

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Computational and Text Analysis Methods Digital Humanities and Scholarship Sentiment Analysis and Opinion Mining

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References

2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts 2014Structural Topic Models for Open‐Ended Survey Responses 2003Extracting Policy Positions from Political Texts Using Words as Data 1936The Psycho-Biology of Language: An Introduction to Dynamic Philology 2006Good News and Bad News: Asymmetric Responses to Economic Information 2008A Scaling Model for Estimating Time‐Series Party Positions from Texts 2009How to Analyze Political Attention with Minimal Assumptions and Costs 2000Estimating Policy Positions from Political Texts

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2018Computergestützte Textanalysenchapter · 27 shared references 2014Reliability and Validity in Automated Content Analysischapter · 10 shared references 2019Validating Wordscores: The Promises and Pitfalls of Computational Text Scalingarticle · 9 shared references 2019Studying Political Decision Making With Automatic Text Analysisother · 9 shared references 2023Comparative European legislative research in the age of large-scale computational text analysis: A review articlearticle · 9 shared references 2016The Nuts and Bolts of Automated Text Analysis. Comparing Different Document Pre-Processing Techniques in Four Countriespreprint · 9 shared references

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Year2020

Typechapter

Published2020-01-01

VenueSpringer eBooks

Languagede

Citations3

Files0 public / 0

ShelfComputational and Text Analysis Methods

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doi10.1007/978-3-658-16936-7_38

openalex_workW4251086643

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