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Audiovisual . 2023
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Audiovisual . 2023
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Sentiment Analysis for Arabic Tweets (Arabic)

appsOther research productkeyboard_double_arrow_right Audiovisual 02 Apr 2023Publisher:Zenodo
Authors: Al Darmaki, Yousuf; Al Rahbi, Khalid; Al Aisaee, Faisal; Al Hasani, Iman; Zaidoom, Hamza;

doi: 10.5281/zenodo.7792563 , 10.5281/zenodo.7792562

Sentiment Analysis for Arabic Tweets (Arabic)

Abstract

This video illustrates the idea of Opinion Mining and Sentiment Analysis for Arabic Tweets. Al Aisaee.F, Al Darmaki.Y and Al Rahbi.K undertook Twitter sentiment analysis with application in Arabic tweet text as a research project for their Bachelor final year project of Statistics major. The project was jointly supervised by Dr. Al Hasani.I and Dr. Zaidoom.H in 2019. The study focused on Arabic tweets about unemployment issue in Oman, using a trending hashtag on this topic at that time. Al Aisaee.F, Al Darmaki.Y and Al Rahbi.K designed this video to illustrate the concept of Opinion Mining and Sentiment Analysis for Arabic speakers.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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