--- title: "Nora Al-Twairesh — author profile and papers in our library" description: "Nora Al-Twairesh: 3 papers on Elamur Research (2016–2018) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/nora-al-twairesh/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nora-al-twairesh/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Nora Al-Twairesh # Nora Al-Twairesh Nora Al-Twairesh has 3 papers in our library, in 2016–2018, most of them on [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/); often with [Hend Al-Khalifa](https://md.research.elamur.ai/free/en/authors/hend-al-khalifa/), [Abdulmalik Al-Salman](https://md.research.elamur.ai/free/en/authors/abdulmalik-al-salman/), [AbdulMalik Alsalman](https://md.research.elamur.ai/free/en/authors/abdulmalik-alsalman/). 3 papers in our library · 2016–2018 No OpenAlex profile matched yet. [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/nora-al-twairesh/#papers) · [🔗 Cited 23 times in our library](https://md.research.elamur.ai/free/en/authors/nora-al-twairesh/cited-by/) · [⭐ Paper Stars ranking: #6632](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6632) 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=Nora+Al-Twairesh) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nora+Al-Twairesh) · [dblp](https://dblp.org/search?q=Nora+Al-Twairesh) · [ACL Anthology](https://aclanthology.org/search/?q=Nora+Al-Twairesh) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Psychology · 3 works](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Experimental and Cognitive Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Developmental and Educational Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Semitic languages · 3 works](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Sentiment & emotion · 2 works](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) ## Works by year ### 2010s [**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/nora-al-twairesh/year/2018/) · [**2016** 2 papers](https://md.research.elamur.ai/free/en/authors/nora-al-twairesh/year/2016/) ## Papers The most cited first (OpenAlex and our library). 1. **[AraSenTi: Large-Scale Twitter-Specific Arabic Sentiment Lexicons](https://md.research.elamur.ai/free/en/papers/twairesh-2016-arasenti-large-scale-twitter-specific/)** *(2016 · 77 citations)* Arabic sentiment analysis of Twitter lacks lexicons that reflect the informal, dialect-heavy and fast-changing language of tweets. 2. **[Sentiment Analysis of Arabic Tweets: Feature Engineering and A Hybrid Approach](https://md.research.elamur.ai/free/en/papers/al-twairesh-2018-sentiment-analysis-arabic-tweets-feature/)** *(2018 · 30 citations)* This work addresses sentiment classification of Arabic tweets. Social media Arabic is noisy, informal and heavily dialectal, and most Arabic NLP tools target MSA, so they handle it poorly. The authors therefore restrict themselves to one variant, the Saudi Dialect, and build a hybrid system on a large corpus of Saudi… 3. **[MADAD: A Readability Annotation Tool for Arabic Text](https://md.research.elamur.ai/free/en/papers/twairesh-2016-madad-readability-annotation-tool-arabic/)** *(2016 · 7 citations)* Arabic readability research has lacked large datasets in which human judges assign difficulty labels to texts, so there was no gold standard for testing automatic readability predictors. ## Co-authors here 4 co-authors with a page, the most papers together first. - [Hend Al-Khalifa](https://md.research.elamur.ai/free/en/authors/hend-al-khalifa/) ×3 - [Abdulmalik Al-Salman](https://md.research.elamur.ai/free/en/authors/abdulmalik-al-salman/) - [AbdulMalik Alsalman](https://md.research.elamur.ai/free/en/authors/abdulmalik-alsalman/) - [Maha Al-Yahya](https://md.research.elamur.ai/free/en/authors/maha-al-yahya/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2016](https://md.research.elamur.ai/free/en/venues/acl/2016/) - [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2016](https://md.research.elamur.ai/free/en/venues/lrec/2016/) ## Cited by Papers of our library cite their works 23 times (of the 149,439 papers whose bibliographies we read); [20 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/nora-al-twairesh/cited-by/). Updated 31 October 2026