A semantic ontology infused deep learning model for disaster tweet classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16840-6.pdf
Reference32 articles.
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2. Madichetty S, Sridevi M (2021) A novel method for identifying the damage assessment tweets during disaster. Futur Gener Comput Syst 116:440–454
3. Longhini, J, Rossi, C, Casetti, C, Angaramo, F (2017) A language-agnostic approach to exact informative tweets during emergency situations. In 2017 IEEE international conference on big data (big data) (pp. 3739–3475). IEEE
4. Li H, Caragea D, Caragea C, Herndon N (2018) Disaster response aided by tweet classification with a domain adaptation approach. J Conting Crisis Manag 26(1):16–27
5. Kuhaneswaran B, Kumara BT, Paik I (2020) Strengthening post-disaster management activities by rating social media Corpus. Int J Syst Serv-Orient Eng (IJSSOE) 10(1):34–50
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