{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T04:45:47Z","timestamp":1766983547718,"version":"3.28.0"},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,11]]},"DOI":"10.1109\/istas48451.2019.8937859","type":"proceedings-article","created":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T00:54:45Z","timestamp":1578012885000},"page":"1-6","source":"Crossref","is-referenced-by-count":15,"title":["An Evaluation of Geotagged Twitter Data during Hurricane Irma Using Sentiment Analysis and Topic Modeling for Disaster Resilience"],"prefix":"10.1109","author":[{"given":"Ike","family":"Vayansky","sequence":"first","affiliation":[]},{"given":"Sathish A.P.","family":"Kumar","sequence":"additional","affiliation":[]},{"given":"Zhenlong","family":"Li","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","article-title":"Mapping moods: Geo-mapped sentiment analysis during hurricane sandy","author":"Caragea","year":"2014","journal-title":"ISCRAM"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.17226\/9834"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2017.02.041"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pbio.1001535"},{"key":"ref5","article-title":"New Tweets per second record, and how!","volume-title":"[Blog] Twitter- Engineering","author":"Kirkorian","year":"2013"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v5i1.14079"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-16184-1_1"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/SocialCom.2013.56"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.telpol.2007.07.008"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0181701"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-30319-2_13"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.geoforum.2014.01.006"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/10510974.2014.956941"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SocialCom.2013.152"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.17016\/2380-7172.2086"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1513\/AnnalsATS.201710-792OI"},{"journal-title":"Google Trends","article-title":"Google Trends","year":"2017","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2105\/AJPH.2017.304192"},{"key":"ref19","article-title":"West FL Shelf Response to Hurricane Irma","author":"Liu","year":"2017","journal-title":"AGU Fall Meeting Abstracts"},{"journal-title":"Rapid Assessment of Damaged Homes in the FL Keys after Hurricane Irma","year":"2018","author":"Xian","key":"ref20"},{"key":"ref21","article-title":"How do extreme streamflow due to hurricane IRMA compare during 1938\u20132017 in South Eastern US?","author":"Anandhi","year":"2017","journal-title":"AGU Fall Meeting Abstracts"},{"key":"ref22","first-page":"993","article-title":"Latent Dirichlet Allocation","volume":"3","author":"Blei","year":"2003","journal-title":"Journal of Machine Learning Research"},{"key":"ref23","article-title":"The revised Atlantic hurricane dataset (HURDAT2)","author":"Landsea","year":"2015","journal-title":"NOAA National Hurricane Center"},{"key":"ref24","article-title":"THE DEADLIEST, COSTLIEST, AND MOST INTENSE UNITED STATES HURRICANES FROM 1900 TO 2000","volume-title":"NOAA","author":"Jarrell","year":"2019"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1964858.1964870"},{"key":"ref26","first-page":"2270","article-title":"Short and Sparse Text Topic Modeling via Self-Aggregation","volume-title":"presented at the 24th International Joint Conference on Artifical Intelligence","author":"Quan","year":"2015"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939880"},{"key":"ref28","article-title":"Emotional analysis on twitter: the hidden challenge","volume-title":"LREC 2016:Proc. of 10th Int. Conf. on Language, Resources and Eval.","author":"Dini","year":"2016"},{"volume-title":"Twitter Sentiment Analysis","year":"2014","author":"Dodd","key":"ref29"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-019-0568-8"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s40860-018-0069-y"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.4018\/jbdcn.2008070101"},{"key":"ref33","first-page":"1","article-title":"Big Data Analytics Framework for Improved Decision Making","volume-title":"Proceedings on the International Conference on Internet Computing (ICOMP)","author":"Xu"},{"key":"ref34","first-page":"260","article-title":"Intruder Identification and Response Framework for Mobile Ad hoc Networks","author":"Alampalayam","year":"2007","journal-title":"Computers and Their Applications"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ssci.2018.8628729"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s40860-019-00073-2"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ISTAS.2018.8638266"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1002\/9781119226444.ch2"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/DASC-PICom-DataCom-CyberSciTec.2017.113"}],"event":{"name":"2019 IEEE International Symposium on Technology and Society (ISTAS)","start":{"date-parts":[[2019,11,15]]},"location":"Medford, MA, USA","end":{"date-parts":[[2019,11,16]]}},"container-title":["2019 IEEE International Symposium on Technology and Society (ISTAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8930368\/8937852\/08937859.pdf?arnumber=8937859","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T23:49:35Z","timestamp":1706053775000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8937859\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/istas48451.2019.8937859","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}