Maite Taboada
Impact in
- Artificial Intelligence top 0.2%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Language and Linguistics top 1%
Papers in
-
- Sentiment Analysis and Opinion Mining 27
- Natural Language Processing Techniques 24
- Topic Modeling 24
- Advanced Text Analysis Techniques 16
- Speech and dialogue systems 12
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- Discourse Analysis in Language Studies 36
- Co-authors
- Julian Brooke (5 shared papers)Kimberly Voll (5 shared papers)Manfred Stede (3 shared papers)William C. Mann (2 shared papers)Jack Grieve (1 shared paper)Fatemeh Torabi Asr (4 shared papers)Debopam Das (6 shared papers)Varada Kolhatkar (4 shared papers)
In The Last Decade
Maite Taboada
92 papers receiving 4.7k citations
Maite Taboada's Hit Papers
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 3.7k
- Language and Linguistics 653
- Literature and Literary Theory 624
- Experimental and Cognitive Psychology 596
- Communication 245
Countries citing papers authored by Maite Taboada
This map shows the geographic impact of Maite Taboada'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 Maite Taboada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maite Taboada more than expected).
Fields of papers citing papers by Maite Taboada
This network shows the impact of papers produced by Maite Taboada. 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 Maite Taboada. The network helps show where Maite Taboada may publish in the future.
Co-authors
The 25 scholars most cited alongside Maite Taboada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lexicon-Based Methods for Sentiment Analysis Hit paper breakdown → | 2011 | 2440 |
| 2 | 2006 | 297 | |
| 3 | 2015 | 218 | |
| 4 | 2005 | 163 | |
| 5 | 2006 | 141 | |
| 6 | Analyzing Appraisal Automatically | 2004 | 141 |
| 7 | Cross-Linguistic Sentiment Analysis: From English to Spanish | 2009 | 139 |
| 8 | 2019 | 117 | |
| 9 | 2006 | 115 | |
| 10 | 2004 | 85 | |
| 11 | 2009 | 63 | |
| 12 | 2015 | 56 | |
| 13 | 2019 | 56 | |
| 14 | 2012 | 56 | |
| 15 | 2007 | 54 | |
| 16 | 2016 | 48 | |
| 17 | 2009 | 48 | |
| 18 | 2014 | 45 | |
| 19 | 2017 | 45 | |
| 20 | 2013 | 43 |
About Maite Taboada
Maite Taboada is a scholar working on Artificial Intelligence, Literature and Literary Theory, Experimental and Cognitive Psychology, Language and Linguistics and Philosophy, having authored 100 papers that have together received 5.2k indexed citations. Recurring topics across this work include Discourse Analysis in Language Studies (36 papers), Sentiment Analysis and Opinion Mining (27 papers), Language, Metaphor, and Cognition (27 papers), Natural Language Processing Techniques (24 papers), Topic Modeling (24 papers), Language, Discourse, Communication Strategies (22 papers), Advanced Text Analysis Techniques (16 papers) and Speech and dialogue systems (12 papers). The work is most often cited by research in Artificial Intelligence (3.7k citations), Language and Linguistics (653 citations), Literature and Literary Theory (624 citations), Experimental and Cognitive Psychology (596 citations) and Communication (245 citations). Maite Taboada has collaborated with scholars based in Canada, Spain and Germany. Frequent co-authors include Julian Brooke, Kimberly Voll, Manfred Stede, William C. Mann, Jack Grieve, Fatemeh Torabi Asr, Debopam Das, Varada Kolhatkar, Farah Benamara and Ruslan Mitkov. Their work appears in journals such as Discourse Studies, Language Resources and Evaluation, Journal of Pragmatics, Pragmatics & beyond. New series and 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.