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Topic · Artificial Intelligence

Advanced Text Analysis Techniques

Advanced Text Analysis Techniques is a research topic within Artificial Intelligence. Science Explorer counts 35k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the automatic extraction of keywords from textual data using various techniques such as graph-based methods, unsupervised approaches, and neural networks. The research explores the application of linguistic knowledge and statistical information to improve the accuracy of keyword extraction from documents.

  • Automatic
  • Extraction
  • Textual Data
  • Keyword
  • Linguistic Knowledge
  • Graph-Based
  • Unsupervised Approach
  • Neural Networks
  • Statistical Information
  • Document
Research works
35k
fractional, since 1950
In the world top 10%
3.4k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+13%
the tick is no change
Largest producer
China
40% of the 10 largest, 2022-now
Advanced Text Analysis Techniques

Which countries lead Advanced Text Analysis Techniques research?

By volume, China and India publish the most (2.5k and 1.5k works in 2022-now).

By volume, 2022-now

  1. 1 China 2.5k works
  2. 2 India 1.5k works
  3. 3 United States 844 works
  4. 4 Indonesia 296 works
  5. 5 Japan 272 works
  6. 6 Germany 222 works
  7. 7 United Kingdom 185 works
  8. 8 Russia 162 works
  9. 9 South Korea 148 works
  10. 10 Türkiye 145 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.

China: 40.1%India: 23.7%United States: 13.5%Indonesia: 4.7%6 others listed: 18.1%40%largest
China2,511 · 40.1%India1,483 · 23.7%United States844 · 13.5%Indonesia296 · 4.7%6 others listed1,133 · 18.1%

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

Which institutions lead Advanced Text Analysis Techniques research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Advanced Text Analysis Techniques research, followed by SRM Institute of Science and Technology and Centre National de la Recherche Scientifique.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 79 works
  2. 2 SRM Institute of Science and TechnologyIndia 52 works
  3. 3 Centre National de la Recherche ScientifiqueFrance 43 works
  4. 4 Beijing University of Posts and TelecommunicationsChina 41 works
  5. 5 Vellore Institute of Technology UniversityIndia 40 works
  6. 6 Telkom UniversityIndonesia 38 works
  7. 7 Amrita Vishwa VidyapeethamIndia 36 works
  8. 8 University of Electronic Science and Technology of ChinaChina 34 works
  9. 9 Soochow UniversityChina 32 works
  10. 10 Binus UniversityIndonesia 30 works

Who are the leading researchers in Advanced Text Analysis Techniques?

The most-cited researchers publishing on Advanced Text Analysis Techniques include Yoshua Bengio, Peer Bork and Daniel J. Kahneman.

  1. 1 Yoshua Bengio Canada 476k citations
  2. 2 Peer Bork Germany 396k citations
  3. 3 Daniel J. Kahneman United States 395k citations
  4. 4 Amos Tversky United States 327k citations
  5. 5 Xiaogang Wang China 260k citations
  6. 6 Yann LeCun United States 256k citations
  7. 7 James Thomas United Kingdom 242k citations

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

What are the most cited papers in Advanced Text Analysis Techniques?

The most cited paper in Advanced Text Analysis Techniques is "When to use and how to report the results of PLS-SEM" (Joseph F. Hair, Jeffrey J. Risher, Marko Sarstedt et al., 2018), with 26,512 citations. Next come "On the evaluation of structural equation models" (20,946) and "Distributed Representations of Words and Phrases and their Compositionality" (18,034).

Most cited papers
#PaperReleasedCitations
1 When to use and how to report the results of PLS-SEM Joseph F. Hair, Jeffrey J. Risher, Marko Sarstedt et al. · European Business Review 19 Dec 2018 26,512
2 On the evaluation of structural equation models Richard P. Bagozzi, Youjae Yi · Journal of the Academy of Marketing Science Mar 1988 20,946
3 Distributed Representations of Words and Phrases and their Compositionality Tomáš Mikolov, Ilya Sutskever, Kai Chen et al. · arXiv (Cornell University) PreprintOpen access 16 Oct 2013 18,034
4 The Analytic Hierarchy Process Thomas L. Saaty, Kevin P. Kearns · Elsevier eBooks Book chapter 1985 15,416
5 Comparison of Convenience Sampling and Purposive Sampling İlker Etikan · American Journal of Theoretical and Applied Statistics Open access 2016 11,287
All 99 most cited papers, with filters and sorting

Where is Advanced Text Analysis Techniques research done?

The largest centres of Advanced Text Analysis Techniques research in 2022-now are Beijing (China), Shanghai (China), Chennai (India) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Vijayawada.

Largest cities, 2022-now

  1. 1 BeijingChina 501 works
  2. 2 ShanghaiChina 150 works
  3. 3 ChennaiIndia 136 works
  4. 4 WuhanChina 135 works
  5. 5 NanjingChina 120 works
  6. 6 GuangzhouChina 113 works
  7. 7 TokyoJapan 113 works
  8. 8 BengaluruIndia 102 works
  9. 9 ChengduChina 97 works
  10. 10 Xi'anChina 84 works

Where it is the local speciality

  1. VijayawadaIN · 26.0 works6.6×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Advanced Text Analysis Techniques than the world average.

See Advanced Text Analysis Techniques on the map

Where is the best place to study Advanced Text Analysis Techniques?

Among universities, judged by research, National University of Singapore, Nanyang Technological University and Nanjing University of Science and Technology 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%20%40%mean 21.34%fractional works in this field (log) →share of work in the world top 10% →Nanjing University o…National University …Nanyang Technologica…Hong Kong University…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1National University of SingaporeSingapore 71.328.4%1.7×15 +35.9%
2Nanyang Technological UniversitySingapore 70.628.1%3.5×21 -17.0%
3Nanjing University of Science and TechnologyChina 70.329.1%3.8×23 +9.8%
4Hong Kong University of Science and TechnologyChina 65.221.5%3.9×12 +87.7%
5King Abdulaziz UniversitySaudi Arabia 64.120.0%3.8×16 +53.0%
6Xinjiang UniversityChina 62.816.2%7.9×26 +321.4%
7Amrita Vishwa VidyapeethamIndia 62.214.0%9.1×36 +13.5%
8Hong Kong Polytechnic UniversityChina 61.922.1%2.4×15 +18.5%
9University of Science and Technology of ChinaChina 60.620.4%2.7×24 +93.6%
10University of Illinois Urbana-ChampaignUnited States 58.713.6%3.5×23 +7.4%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Advanced Text Analysis Techniques, country by country

Is Advanced Text Analysis Techniques research growing?

Output in 2022-2025 was 13% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Advanced Text Analysis Techniques.

still counting19801990200020102020
grewheldshrank

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

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Advanced Text Analysis Techniques as a percentage of every work published that year, 0.044% in 2024.

still counting0.020%0.040%0.060%Advanced Text Analysis Techniques0.036% in 202519801990200020102020

Fractional works of Advanced Text Analysis Techniques over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Advanced Text Analysis Techniques9.9% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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