This component, using the Crowd-sensing Manager service classification, makes periodic queries to the Twitter service for related tweets, using specific keywords. It uses machine learning (ML) algorithms to classify each tweet’s sentiment polarity. After classification processing, the component then builds timeseries, bar plots, and geographical distribution maps that are made available in the Crisis Manager app, allowing for more informed decisions during the time-critical disaster scenarios.