Sentiment Analysis and Opinion Mining
Sentiment Analysis and Opinion Mining is a research topic within Artificial Intelligence. Science Explorer counts 26k research works in it since 1970. 25.5% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on sentiment analysis and opinion mining, particularly in the context of social media and text mining. It covers various techniques such as lexicon-based methods, deep learning, aspect-based sentiment analysis, and machine learning for analyzing emotions and opinions in textual data from platforms like Twitter. The research also delves into emotion recognition and the impact of sentiment analysis on public perception.
- Sentiment Analysis
- Opinion Mining
- Social Media
- Text Mining
- Emotion Recognition
- Deep Learning
- Aspect-based Sentiment Analysis
- Lexicon-Based Methods
- Twitter Sentiment
- Machine Learning
- Research works
- 26k fractional, since 1970
- In the world top 10%
- 6.6k per year above
- Top-10% rate
- 25.5% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +160% the tick is no change
Which countries lead Sentiment Analysis and Opinion Mining research?
By volume, China and India publish the most (2.8k and 2.6k works in 2022–2025).
By volume, 2022–2025
- 1 China 2.8k works
- 2 India 2.6k works
- 3 Indonesia 895 works
- 4 United States 857 works
- 5 United Kingdom 235 works
- 6 Türkiye 234 works
- 7 Bangladesh 229 works
- 8 Malaysia 228 works
- 9 Saudi Arabia 202 works
- 10 ?? 192 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 Sentiment Analysis and Opinion Mining research?
By volume in 2022–2025, Telkom University publishes the most Sentiment Analysis and Opinion Mining research, followed by Binus University and SRM Institute of Science and Technology.
By volume, 2022–2025
- 1 Telkom UniversityIndonesia 116 works
- 2 Binus UniversityIndonesia 111 works
- 3 SRM Institute of Science and TechnologyIndia 74 works
- 4 Amrita Vishwa VidyapeethamIndia 67 works
- 5 Vellore Institute of Technology UniversityIndia 66 works
- 6 Chandigarh UniversityIndia 62 works
- 7 Delhi Technological UniversityIndia 48 works
- 8 Saveetha UniversityIndia 46 works
- 9 Harbin Institute of TechnologyChina 43 works
- 10 Koneru Lakshmaiah Education FoundationIndia 42 works
Who are the leading researchers in Sentiment Analysis and Opinion Mining?
The most-cited researchers publishing on Sentiment Analysis and Opinion Mining include Philip S. Yu, Christopher D. Manning and Jure Leskovec.
- 1 Philip S. Yu United States 6.6k citations
- 2 Christopher D. Manning United States 4.6k citations
- 3 Jure Leskovec United States 4.3k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Sentiment Analysis and Opinion Mining research done?
The largest centres of Sentiment Analysis and Opinion Mining research in 2022–2025 are Beijing (China), Chennai (India), Jakarta (Indonesia) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Chittagong, Faridabad and Vijayawada.
Largest cities, 2022–2025
Where it is the local speciality
- ChittagongBD · 44.8 works11×
- FaridabadIN · 25.5 works11×
- VijayawadaIN · 55.1 works11×
- Greater NoidaIN · 66.9 works9.5×
Location quotient: how much more of its research is in Sentiment Analysis and Opinion Mining than the world average.
Where is the best place to study Sentiment Analysis and Opinion Mining?
Among universities, judged by research, Indian Institute of Technology Patna, Amrita Vishwa Vidyapeetham 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 | Indian Institute of Technology PatnaIndia | 71.6 | 38.5% | 14.5× | 22 | +552.3% |
| 2 | Amrita Vishwa VidyapeethamIndia | 69.8 | 21.0% | 11.2× | 67 | +1335.4% |
| 3 | Nanyang Technological UniversitySingapore | 63.3 | 49.9% | 3.1× | 28 | +117.1% |
| 4 | Daffodil International UniversityBangladesh | 62.6 | 28.6% | 24.6× | 26 | — |
| 5 | Communication University of ChinaChina | 62.4 | 25.1% | 15.6× | 18 | +201.2% |
| 6 | Singapore Management UniversitySingapore | 61.3 | 44.3% | 7.6× | 9 | +96.0% |
| 7 | Delhi Technological UniversityIndia | 61.1 | 27.2% | 15.6× | 48 | — |
| 8 | Multimedia UniversityMalaysia | 58.9 | 32.7% | 10.5× | 16 | — |
| 9 | King Saud UniversitySaudi Arabia | 58.1 | 37.7% | 2.4× | 24 | +387.5% |
| 10 | Telkom UniversityIndonesia | 57.7 | 10.3% | 19.6× | 116 | — |
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 Sentiment Analysis and Opinion Mining research growing?
Output in 2018–2022 was 160% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Sentiment Analysis and Opinion Mining.
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.