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Topic · General Social Sciences

Computational and Text Analysis Methods

Computational and Text Analysis Methods is a research topic within General Social Sciences. Science Explorer counts 9.3k research works in it since 1950. 30.9% of them reached the world's top 10% most cited for their field and year.

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.

  • Computational Text Analysis
  • Topic Modeling
  • Machine Learning
  • Social Science Research
  • Text Data Methods
  • Quantitative Analysis
  • Content Analysis
  • Natural Language Processing
  • Big Data
  • Automated Text Classification
Research works
9.3k
fractional, since 1950
In the world top 10%
2.9k
per year above
Top-10% rate
30.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+164%
the tick is no change

Which countries lead Computational and Text Analysis Methods research?

By volume, the United States and China publish the most (820 and 738 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 820 works
  2. 2 China 738 works
  3. 3 Germany 253 works
  4. 4 India 250 works
  5. 5 United Kingdom 206 works
  6. 6 Indonesia 153 works
  7. 7 South Korea 126 works
  8. 8 Japan 112 works
  9. 9 Canada 104 works
  10. 10 Russia 86 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

United States: 28.8%China: 25.9%Germany: 8.9%India: 8.8%6 others listed: 27.6%29%largest
United States820 · 28.8%China738 · 25.9%Germany253 · 8.9%India250 · 8.8%6 others listed787 · 27.6%

Shares of the rows listed above, not of the whole node.

Which institutions lead Computational and Text Analysis Methods research?

By volume in 2022–2025, University of Chicago publishes the most Computational and Text Analysis Methods research, followed by Telkom University and University of Amsterdam.

By volume, 2022–2025

  1. 1 University of ChicagoUnited States 21 works
  2. 2 Telkom UniversityIndonesia 17 works
  3. 3 University of AmsterdamNetherlands 14 works
  4. 4 Ludwig-Maximilians-Universität MünchenGermany 13 works
  5. 5 University of California, Los AngelesUnited States 13 works
  6. 6 Stanford UniversityUnited States 12 works
  7. 7 University of North Carolina at Chapel HillUnited States 12 works
  8. 8 Binus UniversityIndonesia 12 works
  9. 9 University of ZurichSwitzerland 12 works
  10. 10 University of OxfordUnited Kingdom 11 works

Who are the leading researchers in Computational and Text Analysis Methods?

The most-cited researchers publishing on Computational and Text Analysis Methods include Maosong Sun.

  1. 1 Maosong Sun China 3.4k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Computational and Text Analysis Methods research done?

The largest centres of Computational and Text Analysis Methods research in 2022–2025 are Beijing (China), Seoul (South Korea), Shanghai (China) and London (United Kingdom). Among places with at least 20 works in it, it is an unusually large share of all research in Amsterdam and Zurich.

Largest cities, 2022–2025

  1. 1 Beijing China 149 works
  2. 2 Seoul South Korea 69 works
  3. 3 Shanghai China 63 works
  4. 4 London United Kingdom 51 works
  5. 5 Guangzhou China 46 works
  6. 6 Tokyo Japan 46 works
  7. 7 Nanjing China 45 works
  8. 8 Moscow Russia 44 works
  9. 9 Wuhan China 38 works
  10. 10 New York United States 35 works

Where it is the local speciality

  1. AmsterdamNL · 24.2 works3.5×
  2. ZurichCH · 22.3 works3.1×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Computational and Text Analysis Methods than the world average.

See Computational and Text Analysis Methods on the map

Where is the best place to study Computational and Text Analysis Methods?

Among universities, judged by research, University of Amsterdam, Stanford University and University of Vienna score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%50%100%mean 43.63%fractional works in this node (log) →share in the world top 10% →University of Amsterdam: 14, 57.6%Stanford University: 12, 74.0%University of Vienna: 10, 62.8%Telkom University: 17, 27.3%University of Chicago: 21, 19.0%University of Zurich: 12, 44.0%Utrecht University: 9, 42.1%Ludwig-Maximilians-Universität München: 13, 38.0%University of California, Los Angeles: 12, 51.1%National Research University Higher School of Economics: 11, 20.4%Stanford UniversityUniversity of ViennaUniversity of Amster…Telkom University
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 University of AmsterdamNetherlands 71.557.6%6.8×14 +257.4%
2 Stanford UniversityUnited States 61.374.0%2.5×12 +202.4%
3 University of ViennaAustria 52.162.8%5.1×10 —
4 Telkom UniversityIndonesia 51.227.3%8.1×17 —
5 University of ChicagoUnited States 48.919.0%6.5×21 —
6 University of ZurichSwitzerland 48.844.0%5.4×12 —
7 Utrecht UniversityNetherlands 48.242.1%4.3×9 +255.7%
8 Ludwig-Maximilians-Universität MünchenGermany 45.338.0%5.0×13 —
9 University of California, Los AngelesUnited States 44.251.1%3.3×12 —
10 National Research University Higher School of EconomicsRussia 43.920.4%6.3×11 +222.2%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Computational and Text Analysis Methods research growing?

Output in 2018–2022 was 164% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Computational and Text Analysis Methods.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.