# SMARTies: Sentiment Models for Arabic Target Entities

arXiv: https://arxiv.org/abs/1701.03434 · HTML: https://mlsanity.com/paper/1701.03434/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Jan 2017.

## Built on by (most cited first, 1 of 1)

- [Entity-Level Sentiment Analysis (ELSA): An exploratory task survey](https://mlsanity.com/paper/2304.14241/) (2023)

## Abstract (arXiv)

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 identifying both important targets and their sentiment, and that the use of distributional semantic clusters further boosts performances for these representations, especially when richer linguistic resources are not available.