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SMARTies: Sentiment Models for Arabic Target Entities
[article]
2017
arXiv
pre-print
We consider entity-level sentiment analysis in Arabic, a morphologically rich language with increasing resources. We present a system that is applied to complex posts written in response to Arabic newspaper articles. Our goal is to identify important entity "targets" within the post along with the polarity expressed about each target. We achieve significant improvements over multiple baselines, demonstrating that the use of specific morphological representations improves the performance of
arXiv:1701.03434v1
fatcat:r6dq2xsokjhpfl4yonnkminqia