Extracting Non-Situational Information from Twitter During Disaster Events
نویسندگان
چکیده
Aluminium Industry Abstracts; Australian Business Deans Council (ABDC); Cabell’s Directories; Ceramic Abstracts; Compendex (Elsevier Engineering Index); Computer & Information Systems Abstracts; Corrosion Abstracts; CSA Civil Engineering Abstracts; CSA Illumina; CSA Mechanical & Transportation Engineering Abstracts; DBLP; DEST Register of Refereed Journals; Electronics & Communications Abstracts; Engineered Materials Abstracts; Gale Directory of Publications & Broadcast Media; GetCited; Google Scholar; Information Science Abstracts; INSPEC; JournalTOCs; KnowledgeBoard; Library & Information Science Abstracts (LISA); Materials Business File Steels Alerts; MediaFinder; Norwegian Social Science Data Services (NSD); PubList.com; SCOPUS; Solid State & Superconductivity Abstracts; The Index of Information Systems Journals; The Informed Librarian Online; The Standard Periodical Directory; Ulrich’s Periodicals Directory; Web of Science Emerging Sources Citation Index (ESCI) Second Part of Special Issue on Computers and Management (ICCM) 2016;
منابع مشابه
Extracting information nuggets from disaster- Related messages in social media
Microblogging sites such as Twitter can play a vital role in spreading information during “natural” or man-made disasters. But the volume and velocity of tweets posted during crises today tend to be extremely high, making it hard for disaster-affected communities and professional emergency responders to process the information in a timely manner. Furthermore, posts tend to vary highly in terms ...
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BACKGROUND Twitter has emerged as a critical source of free and openly available information during emergency response operations, providing an unmatched level of on-the-ground situational awareness in real-time. Responders and survivors turn to Twitter to share information and resources within communities, conduct rumor control, and provide a "boots on the ground" understanding of the disaster...
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0957-4174/$ see front matter 2012 Elsevier Ltd. A doi:10.1016/j.eswa.2012.02.136 E-mail address: [email protected] Social networks have been regarded as a timely and cost-effective source of spatio-temporal information for many fields of application. However, while some research groups have successfully developed topic detection methods from the text streams for a while, and even som...
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ورودعنوان ژورنال:
- J. Cases on Inf. Techn.
دوره 19 شماره
صفحات -
تاریخ انتشار 2017