Nora Al-Twairesh

Nora Al-Twairesh has 3 papers in our library, in 2016–2018, most of them on Semitic languages, Sentiment & emotion; often with Hend Al-Khalifa, Abdulmalik Al-Salman, AbdulMalik Alsalman.

3 papers in our library · 2016–2018

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Of its works in our library, with the number of works on each.

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AraSenTi: Large-Scale Twitter-Specific Arabic Sentiment Lexicons (2016 · 77 citations)
Arabic sentiment analysis of Twitter lacks lexicons that reflect the informal, dialect-heavy and fast-changing language of tweets.
Sentiment Analysis of Arabic Tweets: Feature Engineering and A Hybrid Approach (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…
MADAD: A Readability Annotation Tool for Arabic Text (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.

4 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

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 →.

Updated 31 October 2026