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- W2088394786 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." @default.
- W2088394786 created "2016-06-24" @default.
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- W2088394786 date "2012-05-01" @default.
- W2088394786 modified "2023-10-02" @default.
- W2088394786 title "Sentence-level Arabic sentiment analysis" @default.
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- W2088394786 doi "https://doi.org/10.1109/cts.2012.6261103" @default.
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