This paper explores open Twitter data during disaster situations to identify informative tweets that report information about the incident (e.g., tweets about casualties). Results show both tools (F-score: 88%–89%). The results of this study will be useful to those who manage large, crowded events such as Hajj that take place in Arabic-speaking regions. However, minor corrections to better improve the paper are as below: 1. Suggest using 'this study' across the paper, to replace 'we' or 'our'. 2. Caption for all tables should above the table, not below the table. 3. Restructure section 4 onwards: - 4. Methodology (explain method adapt/adopt used), and justification. Suggest adding the figure to overview the overall process and briefly explain. - 4.1 Study Dataset - 4.2 Procedure (from the descriptive analysis) - 4.3 Analysis and Results (from informative-tweet classification model) - 5. Discussion (add more support facts to strengthen your findings) - 6. Conclusion 4. Proofreading and formatting