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. 21.5% 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%
- 7.5k per year above
- Top-10% rate
- 21.5% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +35% the tick is no change
Which countries lead Advanced Text Analysis Techniques research?
By volume, China and India publish the most (2.4k and 1.4k works in 2022–2025).
By volume, 2022–2025
- 1 China 2.4k works
- 2 India 1.4k works
- 3 United States 809 works
- 4 Indonesia 292 works
- 5 Japan 259 works
- 6 Germany 211 works
- 7 United Kingdom 180 works
- 8 Russia 158 works
- 9 Türkiye 142 works
- 10 South Korea 141 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Advanced Text Analysis Techniques research?
By volume in 2022–2025, Beijing University of Posts and Telecommunications publishes the most Advanced Text Analysis Techniques research, followed by Vellore Institute of Technology University and SRM Institute of Science and Technology.
By volume, 2022–2025
- 1 Beijing University of Posts and TelecommunicationsChina 40 works
- 2 Vellore Institute of Technology UniversityIndia 39 works
- 3 SRM Institute of Science and TechnologyIndia 39 works
- 4 Telkom UniversityIndonesia 38 works
- 5 Amrita Vishwa VidyapeethamIndia 36 works
- 6 University of Electronic Science and Technology of ChinaChina 33 works
- 7 Soochow UniversityChina 32 works
- 8 Binus UniversityIndonesia 30 works
- 9 Wuhan UniversityChina 30 works
- 10 Delhi Technological UniversityIndia 27 works
Who are the leading researchers in Advanced Text Analysis Techniques?
The most-cited researchers publishing on Advanced Text Analysis Techniques include Marko Sarstedt, Philip S. Yu and Witold Pedrycz.
- 1 Marko Sarstedt Germany 11k citations
- 2 Philip S. Yu United States 6.6k citations
- 3 Witold Pedrycz Canada 5.4k citations
- 4 Jiawei Han United States 5.2k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Advanced Text Analysis Techniques research done?
The largest centres of Advanced Text Analysis Techniques research in 2022–2025 are Beijing (China), Shanghai (China), Wuhan (China) and Chennai (India). Among places with at least 20 works in it, it is an unusually large share of all research in Vijayawada.
Largest cities, 2022–2025
Where it is the local speciality
- VijayawadaIN · 25.5 works6.7×
Location quotient: how much more of its research is in Advanced Text Analysis Techniques than the world average.
Where is the best place to study Advanced Text Analysis Techniques?
Among universities, judged by research, Amrita Vishwa Vidyapeetham, Delhi Technological University and Nanyang Technological University 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Amrita Vishwa VidyapeethamIndia | 73.9 | 25.8% | 8.1× | 36 | +661.1% |
| 2 | Delhi Technological UniversityIndia | 67.6 | 17.1% | 12.0× | 27 | +255.2% |
| 3 | Nanyang Technological UniversitySingapore | 61.3 | 37.7% | 3.2× | 21 | +44.5% |
| 4 | Nanjing University of Science and TechnologyChina | 61.2 | 32.9% | 3.4× | 23 | +258.3% |
| 5 | Binus UniversityIndonesia | 57.7 | 13.7% | 6.7× | 30 | +879.5% |
| 6 | University of Hassan II CasablancaMorocco | 56.7 | 37.6% | 6.1× | 13 | — |
| 7 | Xinjiang UniversityChina | 56.3 | 25.2% | 7.1× | 25 | — |
| 8 | Vellore Institute of Technology UniversityIndia | 55.4 | 11.8% | 4.8× | 39 | +1480.4% |
| 9 | King Abdulaziz UniversitySaudi Arabia | 55.3 | 24.2% | 3.4× | 15 | +550.9% |
| 10 | Communication University of ChinaChina | 53.0 | 8.3% | 15.5× | 13 | +314.5% |
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 Advanced Text Analysis Techniques research growing?
Output in 2018–2022 was 35% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Advanced Text Analysis Techniques.
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.