Farah Benamara
- Artificial Intelligence top 2%
- Sentiment Analysis and Opinion Mining 20
- Topic Modeling 20
- Natural Language Processing Techniques 17
- Advanced Text Analysis Techniques 13
- Multi-Agent Systems and Negotiation 6
- Semantic Web and Ontologies 6
- Speech and dialogue systems 5
- Communication top 10%
- Information Systems top 10%
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- Linguistics and Discourse Analysis 5
- Co-authors
- V. S. SubrahmanianAntonio PicarielloCarmine CesaranoDiego Reforgiato RecuperoNicholas AsherMaite TaboadaYannick MathieuVéronique Moriceau
In The Last Decade
Farah Benamara
42 papers receiving 578 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 560
- Communication 37
- Information Systems 103
- Human-Computer Interaction 20
- Experimental and Cognitive Psychology 44
Countries citing papers authored by Farah Benamara
This map shows the geographic impact of Farah Benamara'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 Farah Benamara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farah Benamara more than expected).
Fields of papers citing papers by Farah Benamara
This network shows the impact of papers produced by Farah Benamara. 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 Farah Benamara. The network helps show where Farah Benamara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Farah Benamara, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2020 | 10 | |
| 6 | 2019 | 1 | |
| 7 | Automatic Detection of Irony: Opinion Mining in Microblogs and Social Media | 2019 | 2 |
| 8 | 2019 | 5 | |
| 9 | IRIT at e-Risk 2018 | 2018 | 2 |
| 10 | 2015 | 4 | |
| 11 | Catégorisation sémantique fine des expressions d'opinion pour la détection de consensus | 2014 | 1 |
| 12 | 2013 | 15 | |
| 13 | Clause-based Discourse Segmentation of Arabic Texts | 2012 | 9 |
| 14 | Modelling Strategic Conversation: model, annotation design and corpus | 2012 | 13 |
| 15 | Commitments to Preferences in Dialogue | 2011 | 4 |
| 16 | Towards Context-Based Subjectivity Analysis | 2011 | 22 |
| 17 | Distilling Opinion in Discourse: A Preliminary Study | 2008 | 28 |
| 18 | Sentiment Analysis: Adjectives and Adverbs are better than Adjectives Alone | 2007 | 210 |
| 19 | 2004 | 13 | |
| 20 | Dynamic Generation of Cooperative Natural Language Responses in WEBCOOP | 2003 | 3 |
About Farah Benamara
Farah Benamara is a scholar working on Artificial Intelligence, Philosophy and Communication, having authored 47 papers that have together received 663 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (20 papers), Topic Modeling (20 papers), Natural Language Processing Techniques (17 papers), Advanced Text Analysis Techniques (13 papers), Multi-Agent Systems and Negotiation (6 papers), Semantic Web and Ontologies (6 papers), Speech and dialogue systems (5 papers) and Linguistics and Discourse Analysis (5 papers). The work is most often cited by research in Artificial Intelligence (560 citations), Communication (37 citations) and Information Systems (103 citations). Farah Benamara has collaborated with scholars based in France, Italy and Singapore. Frequent co-authors include V. S. Subrahmanian, Antonio Picariello, Carmine Cesarano, Diego Reforgiato Recupero, Nicholas Asher, Maite Taboada, Yannick Mathieu, Véronique Moriceau, Patrick Saint‐Dizier and Viviana Patti. Their work appears in journals such as Computational Linguistics, Language Resources and Evaluation, Journal of Logic Language and Information, Cognitive Computation and Computer Speech & Language.
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.