Sunghwan Mac Kim
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
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- Emotion and Mood Recognition
Papers in
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- Topic Modeling 6
- Sentiment Analysis and Opinion Mining 5
- Advanced Text Analysis Techniques 3
- Authorship Attribution and Profiling 3
- Natural Language Processing Techniques 3
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- Complex Network Analysis Techniques 3
- Opinion Dynamics and Social Influence 2
- Co-authors
- Rafael A. Calvo (3 shared papers)Alessandro Valitutti (1 shared paper)Stephen Wan (7 shared papers)Cécile Paris (7 shared papers)Qiongkai Xu (1 shared paper)Steve Cassidy (1 shared paper)Lizhen Qu (1 shared paper)Yufei Wang (1 shared paper)
- Journals
- Computational Intelligence (1 paper)North American Chapter of the Association for Computational Linguistics (1 paper)Educational Data Mining (1 paper)International Conference on Computational Linguistics (1 paper)
In The Last Decade
Sunghwan Mac Kim
12 papers receiving 291 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 234
- Experimental and Cognitive Psychology 84
- Computer Science Applications 17
- Social Psychology 49
- Applied Psychology 10
Countries citing papers authored by Sunghwan Mac Kim
This map shows the geographic impact of Sunghwan Mac Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sunghwan Mac Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunghwan Mac Kim more than expected).
Fields of papers citing papers by Sunghwan Mac Kim
This network shows the impact of papers produced by Sunghwan Mac Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sunghwan Mac Kim. The network helps show where Sunghwan Mac Kim may publish in the future.
Co-authors
The 15 scholars most cited alongside Sunghwan Mac Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 137 | |
| 2 | Evaluation of Unsupervised Emotion Models to Textual Affect Recognition | 2010 | 69 |
| 3 | Sentiment Analysis in Student Experiences of Learning. | 2010 | 29 |
| 4 | 2017 | 23 | |
| 5 | 2016 | 20 | |
| 6 | Finding Names in Trove: Named Entity Recognition for Australian Historical Newspapers | 2015 | 9 |
| 7 | 2017 | 8 | |
| 8 | 2017 | 6 | |
| 9 | 2016 | 6 | |
| 10 | 2016 | 4 | |
| 11 | Improving Combinatory Categorial Grammar Parse Reranking with Dependency Grammar Features | 2012 | 2 |
| 12 | 2016 | 1 |
About Sunghwan Mac Kim
Sunghwan Mac Kim is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Communication, Social Psychology and Sociology and Political Science, having authored 12 papers that have together received 314 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (5 papers), Advanced Text Analysis Techniques (3 papers), Authorship Attribution and Profiling (3 papers), Natural Language Processing Techniques (3 papers), Complex Network Analysis Techniques (3 papers), Social Media and Politics (2 papers) and Opinion Dynamics and Social Influence (2 papers). The work is most often cited by research in Artificial Intelligence (234 citations), Experimental and Cognitive Psychology (84 citations), Computer Science Applications (17 citations), Social Psychology (49 citations) and Applied Psychology (10 citations). Sunghwan Mac Kim has collaborated with scholars based in Australia and Italy. Frequent co-authors include Rafael A. Calvo, Alessandro Valitutti, Stephen Wan, Cécile Paris, Qiongkai Xu, Steve Cassidy, Lizhen Qu, Yufei Wang, Robert Power and Bella Robinson. Their work appears in journals such as Computational Intelligence, North American Chapter of the Association for Computational Linguistics, Educational Data Mining and International Conference on Computational Linguistics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.