26 citations · 32 across the 2 of their papers we have counts for
2 papers
cs.CL2019★ 26 cited
A Comparative Study of Feature Selection Methods for Dialectal Arabic Sentiment Classification Using Support Vector Machine
Omar Al-Harbi
Unlike other languages, the Arabic language has a morphological complexity which makes the Arabic sentiment analysis is a challenging task. Moreover, the presence of the dialects i…
cs.CL2017★ 6 cited
Using objective words in the reviews to improve the colloquial arabic sentiment analysis
Omar Al-Harbi
One of the main difficulties in sentiment analysis of the Arabic language is the presence of the colloquialism. In this paper, we examine the effect of using objective words in con…