M
Muhammad Abdul-Mageed
Researcher at University of British Columbia
Publications - 107
Citations - 2443
Muhammad Abdul-Mageed is an academic researcher from University of British Columbia. The author has contributed to research in topics: Computer science & Language model. The author has an hindex of 18, co-authored 86 publications receiving 1910 citations. Previous affiliations of Muhammad Abdul-Mageed include Columbia University & Indiana University.
Papers
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Proceedings ArticleDOI
EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks
TL;DR: A very large dataset for fine-grained emotions and deep learning models on it are built and a new state-of-the-art on 24 fine- grained types of emotions is achieved.
Proceedings Article
Subjectivity and Sentiment Analysis of Modern Standard Arabic
TL;DR: This study presents a newly developed manually annotated corpus of Modern Standard Arabic together with a new polarity lexicon and shows that by explicitly accounting for the rich morphology the system is able to achieve significantly higher levels of performance.
Journal ArticleDOI
SAMAR: Subjectivity and sentiment analysis for Arabic social media
TL;DR: The results show that using either lemma or lexeme information is helpful, as well as using the two part of speech tagsets (RTS and ERTS), but that lemmatization and the ERTS POS tagset are present in a majority of the settings.
Proceedings Article
AWATIF: A Multi-Genre Corpus for Modern Standard Arabic Subjectivity and Sentiment Analysis
Muhammad Abdul-Mageed,Mona Diab +1 more
TL;DR: AWATIF, a multi-genre corpus of Modern Standard Arabic labeled for subjectivity and sentiment analysis (SSA) at the sentence level, is presented and its linguistically-motivated and genre-nuanced annotation guidelines are presented.
Book ChapterDOI
Subjectivity and Sentiment Analysis of Arabic: A Survey
TL;DR: This paper surveys different techniques for SSA for Arabic and describes the main existing techniques and test corpora for Arabic SSA that have been introduced in the literature.