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Dr. Hossam Sayed Ibrahim
Dr. Hossam Sayed Ibrahim
PhD Degree, computer Science Dept. Cairo University
Verified email at pg.cu.edu.eg
Title
Cited by
Cited by
Year
Sentiment analysis for modern standard arabic and colloquial
HS Ibrahim, SM Abdou, M Gheith
arXiv preprint arXiv:1505.03105, 2015
1282015
MIKA: A tagged corpus for modern standard Arabic and colloquial sentiment analysis
HS Ibrahim, SM Abdou, M Gheith
2015 IEEE 2nd international conference on recent trends in information …, 2015
502015
Idioms-proverbs lexicon for modern standard Arabic and colloquial sentiment analysis
HS Ibrahim, SM Abdou, M Gheith
arXiv preprint arXiv:1506.01906, 2015
382015
Automatic expandable large-scale sentiment lexicon of Modern Standard Arabic and Colloquial
HS Ibrahim, SM Abdou, M Gheith
2015 first international conference on Arabic computational linguistics …, 2015
212015
Automatic Extraction of Textual Elements from News Web Pages.
H Ibrahim, K Darwish, AR Madany
LREC, 2008
82008
Arabic-Hebrew Cross-Language Information Retrieval using Dictionary-Based Technique
HS Ibrahim, W Arafa, K Darwish
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Articles 1–6