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The unpredictable nature of natural disasters behaviour makes it hard to have a comprehensive situational awareness (SA) to support disaster management. Using opinion surveys is a traditional approach to analyse public concerns during natural disasters; however, this approach is limited, expensive and time-consuming. Luckily, the advent of social media has provided scholars with an alternative means of analysing public concerns. Social media enable users (people) to freely communicate their opinions and disperse information regarding current events including natural disasters. This research emphasises the value of social media analysis and proposes an analytical framework: Twitter Situational Awareness (TwiSA). This framework uses text mining methods including sentiment analysis and topic modelling to create a better SA for disaster preparedness, response and recovery. TwiSA has also effectively deployed on a large number of tweets and tracks the negative concerns of people during the 2015 South Carolina flood.<\/jats:p>","DOI":"10.1177\/0165551519828620","type":"journal-article","created":{"date-parts":[[2019,3,4]],"date-time":"2019-03-04T09:06:45Z","timestamp":1551690405000},"page":"313-324","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":132,"title":["Twitter speaks: A case of national disaster situational awareness"],"prefix":"10.1177","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1936-7497","authenticated-orcid":false,"given":"Amir","family":"Karami","sequence":"first","affiliation":[{"name":"School of Library and Information Science, University of South Carolina, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vishal","family":"Shah","sequence":"additional","affiliation":[{"name":"Computer Science & Engineering Department, University of South Carolina, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Reza","family":"Vaezi","sequence":"additional","affiliation":[{"name":"Coles College of Business, Kennesaw State University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amit","family":"Bansal","sequence":"additional","affiliation":[{"name":"Computer Science & Engineering Department, University of South Carolina, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2019,3,4]]},"reference":[{"key":"bibr1-0165551519828620","unstructured":"Olanoff D. 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