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20172025
most citedCombining Lexical Features and a Supervised Learning Approach for Arabic Sentiment Analysis

1 citations · 1 across the 5 of their papers we have counts for

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cs.CL2017

NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis

Samhaa R. El-Beltagy, Mona El Kalamawy, Abu Bakr Soliman

This paper describes two systems that were used by the authors for addressing Arabic Sentiment Analysis as part of SemEval-2017, task 4. The authors participated in three Arabic re…

cs.CL2017★ 1 cited

Combining Lexical Features and a Supervised Learning Approach for Arabic Sentiment Analysis

Samhaa R. El-Beltagy, Talaat Khalil, Amal Halaby +1

The importance of building sentiment analysis tools for Arabic social media has been recognized during the past couple of years, especially with the rapid increase in the number of…