2018
DOI: 10.1080/24694452.2017.1421897
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Mining Twitter Data for Improved Understanding of Disaster Resilience

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Cited by 128 publications
(113 citation statements)
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“…The accuracy of VADER in Twitter data for hurricane context has been demonstrated in the study for Hurricane Sandy [27]. As such, this study employed the VADER Sentiment package, a lexicon and rule-based sentiment analysis library considering also lexical features of tweets such as sentiment-related acronyms and initialisms (e.g., LOL and WTF) [28].…”
Section: Transportationmentioning
confidence: 99%
“…The accuracy of VADER in Twitter data for hurricane context has been demonstrated in the study for Hurricane Sandy [27]. As such, this study employed the VADER Sentiment package, a lexicon and rule-based sentiment analysis library considering also lexical features of tweets such as sentiment-related acronyms and initialisms (e.g., LOL and WTF) [28].…”
Section: Transportationmentioning
confidence: 99%
“…Media berperan untuk mempromosikan bahwa Pandeglang telah pulih dan bangkit kembali dari Tsunami Selat Sunda 2018. Media juga berperan untuk media sosialisasi bagaimana kesiapsiagaan terhadap ancaman tsunami untuk membangun ketahanan terhadap ancaman bencana [20][21].…”
Section: Membangun Ketahanan (Resiliensi) Bencana Tsunami Pada Kawasaunclassified
“…While Li et al (2016) and Qin et al (2017) used social, economy, and demography dimensions [14][15]. Zou et al (2018) used social media technology to measure resilience on hurricanes in the US [16].…”
Section: Disaster Community Resilience Conceptmentioning
confidence: 99%
“…Media also plays significant role in disaster resilience. Some literature shows that media can be used as dissemination tools on tsunami preparedness and tsunami resilience building [16,23].…”
Section: Disaster Community Resilience Conceptmentioning
confidence: 99%