Diman Ghazi
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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- Geographic Information Systems Studies
Papers in
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- Sentiment Analysis and Opinion Mining 6
- Text and Document Classification Technologies 4
- Natural Language Processing Techniques 3
- Topic Modeling 2
- Advanced Text Analysis Techniques 2
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- Humor Studies and Applications 2
- Co-authors
- Diana Zaiu Inkpen (8 shared papers)Stan Śzpakowicz (5 shared papers)Ji yin Liu (2 shared papers)Atefeh Farzindar (2 shared papers)Fazel Keshtkar (1 shared paper)Yannis Katsis (1 shared paper)Rajasekar Krishnamurthy (1 shared paper)Huaiyu Zhu (1 shared paper)
- Journals
- Computer Speech & Language (1 paper)Journal of Intelligent Information Systems (1 paper)Lecture notes in computer science (3 papers)North American Chapter of the Association for Computational Linguistics (1 paper)Meeting of the Association for Computational Linguistics (1 paper)
In The Last Decade
Diman Ghazi
8 papers receiving 313 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 276
- Geography, Planning and Development 30
- Experimental and Cognitive Psychology 46
- Transportation 18
- Social Psychology 41
Countries citing papers authored by Diman Ghazi
This map shows the geographic impact of Diman Ghazi'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 Diman Ghazi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diman Ghazi more than expected).
Fields of papers citing papers by Diman Ghazi
This network shows the impact of papers produced by Diman Ghazi. 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 Diman Ghazi. The network helps show where Diman Ghazi may publish in the future.
Co-authors
The 13 scholars most cited alongside Diman Ghazi, 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 | 2015 | 137 | |
| 2 | Hierarchical versus Flat Classification of Emotions in Text | 2010 | 59 |
| 3 | 2013 | 41 | |
| 4 | 2017 | 30 | |
| 5 | 2010 | 27 | |
| 6 | 2015 | 18 | |
| 7 | ANALYSIS AND GENERATION OF EMOTION IN TEXTS | 2009 | 9 |
| 8 | Prior versus Contextual Emotion of a Word in a Sentence | 2012 | 8 |
| 9 | 2021 | 1 |
About Diman Ghazi
Diman Ghazi is a scholar working on Artificial Intelligence, Social Psychology, Geography, Planning and Development, Information Systems and Transportation, having authored 9 papers that have together received 330 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (6 papers), Text and Document Classification Technologies (4 papers), Natural Language Processing Techniques (3 papers), Humor Studies and Applications (2 papers), Topic Modeling (2 papers), Advanced Text Analysis Techniques (2 papers), Artificial Intelligence in Law (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Artificial Intelligence (276 citations), Geography, Planning and Development (30 citations), Experimental and Cognitive Psychology (46 citations), Transportation (18 citations) and Social Psychology (41 citations). Diman Ghazi has collaborated with scholars based in Canada, Poland and Czechia. Frequent co-authors include Diana Zaiu Inkpen, Stan Śzpakowicz, Ji yin Liu, Atefeh Farzindar, Fazel Keshtkar, Yannis Katsis, Rajasekar Krishnamurthy, Huaiyu Zhu, Arvind K. Agarwal and Marina Danilevsky. Their work appears in journals such as Computer Speech & Language, Journal of Intelligent Information Systems, Lecture notes in computer science, North American Chapter of the Association for Computational Linguistics and Meeting of the Association for 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.