Sentence-level Arabic sentiment analysis

TLDR

Arabic sentiment analysis research is still in its early stages, with limited studies compared to English, and Twitter data is particularly valuable for the Arabic‑speaking Middle East. The paper aims to apply sentiment classification to Arabic tweets. Tweets were retrieved from Twitter and classified into positive or negative sentiment polarity.

Abstract

Arabic sentiment analysis research existing currently is very limited. While sentiment analysis has many applications in English, the Arabic language is still recognizing its early steps in this field. In this paper, we show an application on Arabic sentiment analysis by implementing a sentiment classification for Arabic tweets. The retrieved tweets are analyzed to provide their sentiments polarity (positive, or negative). Since, this data is collected from the social network Twitter; it has its importance for the Middle East region, which mostly speaks Arabic.