Deep learning for real-time social media text classification for situation awareness – using Hurricanes Sandy, Harvey, and Irma as case studies (English)
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- New search for: Yu, Manzhu
- New search for: Huang, Qunying
- New search for: Qin, Han
- New search for: Scheele, Chris
- New search for: Yang, Chaowei
- New search for: Yu, Manzhu
- New search for: Huang, Qunying
- New search for: Qin, Han
- New search for: Scheele, Chris
- New search for: Yang, Chaowei
In:
International Journal of Digital Earth
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12
, 11
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1230-1247
;
2019
- Article (Journal) / Electronic Resource
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Title:Deep learning for real-time social media text classification for situation awareness – using Hurricanes Sandy, Harvey, and Irma as case studies
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Contributors:Yu, Manzhu ( author ) / Huang, Qunying ( author ) / Qin, Han ( author ) / Scheele, Chris ( author ) / Yang, Chaowei ( author )
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Published in:International Journal of Digital Earth ; 12, 11 ; 1230-1247
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Publisher:
- New search for: Taylor & Francis
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Publication date:2019-11-02
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Size:18 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 12, Issue 11
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1198
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Introduction to social sensing and big data computing for disaster managementLi, Zhenlong / Huang, Qunying / Emrich, Christopher T. et al. | 2019
- 1205
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Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis: a case study of Hurricane IrmaSit, Muhammed Ali / Koylu, Caglar / Demir, Ibrahim et al. | 2019
- 1230
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Deep learning for real-time social media text classification for situation awareness – using Hurricanes Sandy, Harvey, and Irma as case studiesYu, Manzhu / Huang, Qunying / Qin, Han / Scheele, Chris / Yang, Chaowei et al. | 2019
- 1248
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A visual–textual fused approach to automated tagging of flood-related tweets during a flood eventHuang, Xiao / Wang, Cuizhen / Li, Zhenlong / Ning, Huan et al. | 2019
- 1265
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Rapid estimation of an earthquake impact area using a spatial logistic growth model based on social media dataWang, Yandong / Ruan, Shisi / Wang, Teng / Qiao, Mengling et al. | 2019
- 1285
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Mapping near-real-time power outages from social mediaMao, Huina / Thakur, Gautam / Sparks, Kevin / Sanyal, Jibonananda / Bhaduri, Budhendra et al. | 2019
- 1300
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Social and geographical disparities in Twitter use during Hurricane HarveyZou, Lei / Lam, Nina S. N. / Shams, Shayan / Cai, Heng / Meyer, Michelle A. / Yang, Seungwon / Lee, Kisung / Park, Seung-Jong / Reams, Margaret A. et al. | 2019
- 1319
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Population distribution modelling at fine spatio-temporal scale based on mobile phone dataKubíček, Petr / Konečný, Milan / Stachoň, Zdeněk / Shen, Jie / Herman, Lukáš / Řezník, Tomáš / Staněk, Karel / Štampach, Radim / Leitgeb, Šimon et al. | 2019
- 1341
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Discovering the relationship of disasters from big scholar and social media news datasetsZheng, Liang / Wang, Fei / Zheng, Xiaocui / Liu, Binbin et al. | 2019
- 1364
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A cyberGIS-enabled multi-criteria spatial decision support system: A case study on flood emergency managementZhang, Zhe / Hu, Hao / Yin, Dandong / Kashem, Shakil / Li, Ruopu / Cai, Heng / Perkins, Dylan / Wang, Shaowen et al. | 2019