Sentence-level Arabic sentiment analysis
Published 1 May 2012
Amira Shoukry, Ahmed Rafea
Citations224
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TL;DR
This paper shows an application on Arabic sentiment analysis by implementing a sentiment classification for Arabic tweets, which is collected from the social network Twitter.
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.
Keywords
Computer Science
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