--- title: "Pavel Brazdil — author profile and papers" description: "Pavel Brazdil, Universidade do Porto: 2 papers on Elamur Research (2022–2023), h-index 31 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/pavel-brazdil/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/pavel-brazdil/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Pavel Brazdil # Pavel Brazdil Pavel Brazdil has 2 papers in our library, in 2022–2023, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [David Ifeoluwa Adelani](https://md.research.elamur.ai/free/en/authors/david-ifeoluwa-adelani/), [Ibrahim Sa'id Ahmad](https://md.research.elamur.ai/free/en/authors/ibrahim-sa-id-ahmad/), [Idris Abdulmumin](https://md.research.elamur.ai/free/en/authors/idris-abdulmumin/). 2 papers in our library · 2022–2023 current affiliation [Universidade do Porto](https://md.research.elamur.ai/free/en/universities/universidade-do-porto/), Porto, Portugal; [INESC TEC](https://md.research.elamur.ai/free/en/labs/inesc-tec/), Porto, Portugal [OpenAlex](https://openalex.org/A5074059438) · [ORCID](https://orcid.org/0000-0002-4720-0486) · [**h-index 31**](https://openalex.org/authors/A5074059438) · [187 works](https://openalex.org/works?filter=author.id:A5074059438) · [4 918 citations](https://openalex.org/works?filter=author.id:A5074059438&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [2 works in our library](https://md.research.elamur.ai/free/en/authors/pavel-brazdil/#papers) · [174 citations in our library](https://md.research.elamur.ai/free/en/authors/pavel-brazdil/cited-by/) · 1 more work in our library · [⭐ Paper Star rank #3616](https://md.research.elamur.ai/free/en/paper-stars/page/37/#star-3616) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Pavel+Brazdil) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Pavel+Brazdil) · [dblp](https://dblp.org/search?q=Pavel+Brazdil) · [ACL Anthology](https://aclanthology.org/search/?q=Pavel+Brazdil) ## Affiliations - [Universidade do Porto](https://md.research.elamur.ai/free/en/universities/universidade-do-porto/) · Porto, Portugal —current · 1986–2025 on 117 papers - [INESC TEC](https://md.research.elamur.ai/free/en/labs/inesc-tec/) · Porto, Portugal —current · 2013–2025 on 37 papers - [Institute for Systems Engineering and Computers](https://md.research.elamur.ai/free/en/ngos/institute-for-systems-engineering-and-computers/) · Lisbon, Portugal —2007–2018 on 9 papers - [Cité Internationale Universitaire de Paris](https://ror.org/0284gmm72) · Paris, France —1991 on 2 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed. ## Topics [Sentiment & emotion 2](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Multilingual & cross-lingual NLP 1](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Evaluation & benchmarks 1](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/papers/muhammad-2023-afrisenti-twitter-sentiment-analysis-benchmark/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/papers/muhammad-2022-naijasenti-nigerian-twitter-sentiment-corpus/) ## Papers The most cited first (OpenAlex and our library). 1. **[AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages](https://md.research.elamur.ai/free/en/papers/muhammad-2023-afrisenti-twitter-sentiment-analysis-benchmark/)** *(2023 · 143 citations)* NLP research on African languages is scarce, largely because labelled data is lacking. This is especially true for sentiment in noisy social-media text, where code-switching, tone and multiple scripts complicate analysis. The authors address this gap with AfriSenti, a Twitter benchmark covering 14 African languages… 2. **[NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/muhammad-2022-naijasenti-nigerian-twitter-sentiment-corpus/)** *(2022 · 127 citations)* Sentiment analysis tools are mostly built for data-rich languages, so Nigerian languages have had little support. ## Also in our library 1 more work of theirs is in our library without a page here yet; it will appear as we publish them. ## Co-authors here 12 co-authors with a page, the most papers together first. - [David Ifeoluwa Adelani](https://md.research.elamur.ai/free/en/authors/david-ifeoluwa-adelani/) ×2 - [Ibrahim Sa'id Ahmad](https://md.research.elamur.ai/free/en/authors/ibrahim-sa-id-ahmad/) ×2 - [Idris Abdulmumin](https://md.research.elamur.ai/free/en/authors/idris-abdulmumin/) ×2 - [Sebastian Ruder](https://md.research.elamur.ai/free/en/authors/sebastian-ruder/) ×2 - [Shamsuddeen Hassan Muhammad](https://md.research.elamur.ai/free/en/authors/shamsuddeen-hassan-muhammad/) ×2 - [Abinew Ali Ayele](https://md.research.elamur.ai/free/en/authors/abinew-ali-ayele/) - [Alípio Jorge](https://md.research.elamur.ai/free/en/authors/alipio-jorge/) - [Meriem Beloucif](https://md.research.elamur.ai/free/en/authors/meriem-beloucif/) - [Monojit Choudhury](https://md.research.elamur.ai/free/en/authors/monojit-choudhury/) - [Nedjma Ousidhoum](https://md.research.elamur.ai/free/en/authors/nedjma-ousidhoum/) - [Saif Mohammad](https://md.research.elamur.ai/free/en/authors/saif-mohammad/) - [Seid Muhie Yimam](https://md.research.elamur.ai/free/en/authors/seid-muhie-yimam/) ## Cited by Papers of our library cite their works 174 times (of the 140 884 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/pavel-brazdil/cited-by/).