Disaster damage assessment from the tweets using the combination of statistical features and informative words

Research article (Social Network Analysis and Mining, 2019) · cited 30× · AI/ML
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Disaster damage assessment from the tweets using the combination of statistical features and informative words

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Disaster damage assessment from the tweets using the combination of statistical features and informative words is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Disaster damage assessment from the tweets using the combination of statistical features and informative words. Retrieved May 24, 2026, from https://4ort.xyz/entity/disaster-damage-assessment-from-the-tweets-using-the-combination-of-statistical-features-and-informative-words
MLA “Disaster damage assessment from the tweets using the combination of statistical features and informative words.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/disaster-damage-assessment-from-the-tweets-using-the-combination-of-statistical-features-and-informative-words.
BibTeX @misc{4ortxyz_disaster-damage-assessment-from-the-tweets-using-the-combination-of-statistical-features-and-informative-words_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Disaster damage assessment from the tweets using the combination of statistical features and informative words}}, year = {2026}, url = {https://4ort.xyz/entity/disaster-damage-assessment-from-the-tweets-using-the-combination-of-statistical-features-and-informative-words}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Disaster damage assessment from the tweets using the combination of statistical features and informative words — https://4ort.xyz/entity/disaster-damage-assessment-from-the-tweets-using-the-combination-of-statistical-features-and-informative-words (retrieved 2026-05-24)

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