Historically, flood dominates the most occurred disasters worldwide. In Malaysia, the highest relative frequency of disaster hazards is flood. Public citizen acts as bystander contribute vital information via social media, which should be more scrutinized in a way such as sentiment analysis. Indeed, sentiment analysis has a better effect in movie or product review, survey response, political data science and social media monitoring. Important to realize, a repeated changing objective in disaster management that need to be administer is tend to have higher flexibility in response to shift disaster phases. Due to quick significant change of flood scenario, it is important to have faster improvement process. Thereupon, the practical approach mentioned here can be operationalized by the incorporation of SOA technology. This is due to the simpler service integration because SOA is supported on different platform. By incorporating SOA in flood disaster management framework for sentiment analysis, this approach leads to the reusability. The goal of this work is to review existing flood disaster management, analyzing their incorporation with sentiment analysis and SOA. It also discusses the way a SOA methodology can be effectively designed and implemented in flood disaster management framework by using sentiment analysis.