Twitt Ray: Sentiment Visualization of Arabic Tweets

Document Type : Research Paper

Authors

1 Assistant Prof., Department of Information Technology, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.

2 Data Scientist and Research Associate, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia.

3 Associate Professor, Department of Information Technology, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.

4 Prof., College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.

10.22059/jitm.2026.108009

Abstract

Sentiment Analysis of Twitter offers valuable insight into public sentiment. However, humans absorb most information through visual perception. Therefore, visual representation of data enables them to comprehend data more quickly and effectively than in text form. Unfortunately, the majority of ex-isting work mainly focuses on sentiment analysis and pays less attention to sentiment visualization; this potentially reduces the real value of sentiment analysis results. In this paper, we present an easy-to-use sentiment visualization tool for Arabic tweets called Twitt Ray. The goal of Twitt Ray is to serve anyone, from individuals to companies and social scientists, who are interested in knowing, analyzing, and visualizing the current sentiments that people express on Twitter. Moreover, Twitt Ray provides seven different visual representations of sentimentally analyzed data to achieve a better understanding of different aspects of the data. Also, a usability study was performed to evaluate the usability of the tool for end users.

Keywords

References

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Journal of Information Technology Management
Volume 18, Issue 3
2026
Pages 155-180

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