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Computational and Text Analysis Methods
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the application of computational text analysis methods, such as topic modeling, machine learning, and natural language processing, in social science research. It explores the use of these methods for quantitative analysis of textual data, automated content classification, and uncovering patterns and trends in large text corpora.
52
Works
IDs:OpenAlex
How has Computational and Text Analysis Methods's publication output changed over time?
ScholarIQpublication output · 2011–2024
Output grew100% over the shown period — from 1 works in 2011 to 2 in 2024.
1
1
2
4
1
2
2
2
20112014201920202021202220232024
What are the most-cited papers on Computational and Text Analysis Methods?
ScholarIQmost cited works
Structural Topic Models for Open‐Ended Survey Responses
Margaret E. Roberts, Brandon Stewart, Dustin Tingley, Christopher Lucas, Jetson Leder‐Luis, Shana Kushner Gadarian, Bethany Albertson, David G. Rand
American Journal of Political Science. 20141,966 Citations
Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions
Yogesh K. Dwivedi, Anuj Sharma, Nripendra P. Rana, Mihalis Giannakis, Pooja Goel, Vincent Dutot
Technological Forecasting and Social Change. 2023318 CitationsOPEN ACCESS
Why the Pirate Party Won the German Election of 2009 or The Trouble With Predictions: A Response to Tumasjan, A., Sprenger, T. O., Sander, P. G., & Welpe, I. M. “Predicting Elections With Twitter: What 140 Characters Reveal About Political Sentiment”
Andreas Jungherr, Pascal Jürgens, Harald Schoen
Social Science Computer Review. 2011271 Citations
An Agenda for Open Science in Communication
Tobias Dienlin, Niklas Johannes, Nicholas David Bowman, Philipp K. Masur, Sven Engesser, Anna Sophie Kümpel, Josephine Lukito, Lindsey M. Bier, Renwen Zhang, Benjamin K. Johnson, Richard Huskey, Frank M. Schneider, Johannes Breuer, Douglas A. Parry, Ivar Vermeulen, Jacob T. Fisher, Jaime Banks, René Weber, David A. Ellis, Tim Smits, James Ivory, Sabine Trepte, Bree McEwan, Eike Mark Rinke, German Neubaum, Stephan Winter, Christopher J. Carpenter, Nicole Krämer, Sonja Utz, Julian Unkel, Xiaohui Wang, Brittany I Davidson, Nuri Kim, Andrea Stevenson Won, Emese Domahidi, Neil A. Lewis, Claes H. de Vreese
S107737141. 2020226 CitationsOPEN ACCESS
News Frame Analysis: An Inductive Mixed-method Computational Approach
Dror Walter, Yotam Ophir
S193040567. 2019223 Citations
Where is Computational and Text Analysis Methods research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
S193040567359
S107737141261
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Computational and Text Analysis Methods is open access?
ScholarIQopen access share
33%OPEN ACCESS
Gold
0%
Green
7%
Hybrid
27%
Bronze
0%
Closed
67%
Related on ScholarIQ
Structural Topic Models for Open‐Ended Survey Responses
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The Validity of Sentiment Analysis: Comparing Manual Annotation, Crowd-Coding, Dictionary Approaches, and Machine Learning Algorithms
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Are Issue-Cycles Culturally Constructed? A Comparison of French and American Coverage of Global Climate Change
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Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions
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Precision Journalism: A Reporter's Introduction to Social Science Methods
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Why the Pirate Party Won the German Election of 2009 or The Trouble With Predictions: A Response to Tumasjan, A., Sprenger, T. O., Sander, P. G., & Welpe, I. M. “Predicting Elections With Twitter: What 140 Characters Reveal About Political Sentiment”
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