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Scaling Up Content Analysis: Crowd-Coding Text Units · Study

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PreprintScaling Up Content Analysis: Crowd-Coding Text Units

Unknown author2015

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Preprintgreen2015

Scaling Up Content Analysis: Crowd-Coding Text Units

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7 citations·0/0 files stored·SSRN Electronic Journal

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Computational and Text Analysis Methods Sentiment Analysis and Opinion Mining Mobile Crowdsensing and Crowdsourcing

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References

2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts 2008Contentious Performances 2006FrameNet II: Extended theory and practice 2009A Method of Automated Nonparametric Content Analysis for Social Science 2009How to Analyze Political Attention with Minimal Assumptions and Costs 2009A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases 2008Fightin' Words: Lexical Feature Selection and Evaluation for Identifying the Content of Political Conflict 2016Crowd-sourced Text Analysis: Reproducible and Agile Production of Political Data

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2020Work and Technological Change

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2016A Crowd Content Analysis Assembly Line: Annotating Text Units of Analysispreprint · 15 shared references 2014Researchers to Crowds to Algorithms: Building Large, Complex, and Transparent Databases from Text in the Age of Data Sciencepreprint · 7 shared references 2021Cross-Domain Topic Classification for Political Textsarticle · 6 shared references 2019Computational Analysis of Political Texts: Bridging Research Efforts Across Communitiesother · 6 shared references 2015Computer-Assisted Text Analysis for Comparative Politicsarticle · 5 shared references 2017Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About Itarticle · 5 shared references

Details

Year2015

Typepreprint

Published2015-01-01

VenueSSRN Electronic Journal

ISSN-L1556-5068

Languageen

Citations7

Files0 public / 0

ShelfComputational and Text Analysis Methods

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doi10.2139/ssrn.2617222

openalex_workW2264483198

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