FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2892634697> ?p ?o ?g. }

• W2892634697 endingPage "1264" @default.
• W2892634697 startingPage "1248" @default.
• W2892634697 abstract "In recent years, social media such as Twitter have received much attention as a new data source for rapid flood awareness. The timely response and large coverage provided by citizen sensors significantly compensate the limitations of non-timely remote sensing data and spatially isolated river gauges. However, automatic extraction of flood tweets from a massive tweets pool remains a challenge. Taking the Houston Flood in 2017 as a study case, this paper presents an automated flood tweets extraction approach by mining both visual and textual information a tweet contains. A CNN architecture was designed to classify the visual content of flood pictures during the Houston Flood. A sensitivity test was then applied to extract flood-sensitive keywords that were further used to refine the CNN classified results. A duplication test was finally performed to trim the database by removing the duplicated pictures to create the flood tweets pool for the flood event. The results indicated that coupling CNN classification results with flood-sensitive words in tweets allows a significant increase in precision while keeps the recall rate in a high level. The elimination of tweets containing duplicated pictures greatly contributes to higher spatio-temporal relevance to the flood." @default.
• W2892634697 created "2018-10-05" @default.
• W2892634697 creator A5048472635 @default.
• W2892634697 creator A5060706069 @default.
• W2892634697 creator A5073915674 @default.
• W2892634697 creator A5078548585 @default.
• W2892634697 date "2018-09-21" @default.
• W2892634697 modified "2023-10-02" @default.
• W2892634697 title "A visual–textual fused approach to automated tagging of flood-related tweets during a flood event" @default.
• W2892634697 cites W10709905 @default.
• W2892634697 cites W1505742155 @default.
• W2892634697 cites W1567302070 @default.
• W2892634697 cites W1596717185 @default.
• W2892634697 cites W1901129140 @default.
• W2892634697 cites W1969894105 @default.
• W2892634697 cites W1970196889 @default.
• W2892634697 cites W1982087813 @default.
• W2892634697 cites W2003115311 @default.
• W2892634697 cites W2004935438 @default.
• W2892634697 cites W2005524263 @default.
• W2892634697 cites W202027534 @default.
• W2892634697 cites W2022783018 @default.
• W2892634697 cites W2023594478 @default.
• W2892634697 cites W2025081778 @default.
• W2892634697 cites W2048640819 @default.
• W2892634697 cites W2055230908 @default.
• W2892634697 cites W2070564056 @default.
• W2892634697 cites W2074772891 @default.
• W2892634697 cites W2080549699 @default.
• W2892634697 cites W2081212507 @default.
• W2892634697 cites W2124499489 @default.
• W2892634697 cites W2141125852 @default.
• W2892634697 cites W2155214175 @default.
• W2892634697 cites W2166742463 @default.
• W2892634697 cites W2238169501 @default.
• W2892634697 cites W2549412929 @default.
• W2892634697 cites W2586673608 @default.
• W2892634697 cites W2739831441 @default.
• W2892634697 cites W2792865798 @default.
• W2892634697 cites W2793106788 @default.
• W2892634697 cites W2806143400 @default.
• W2892634697 cites W2884850261 @default.
• W2892634697 cites W2963745697 @default.
• W2892634697 doi "https://doi.org/10.1080/17538947.2018.1523956" @default.
• W2892634697 hasPublicationYear "2018" @default.
• W2892634697 type Work @default.
• W2892634697 sameAs 2892634697 @default.
• W2892634697 citedByCount "30" @default.
• W2892634697 countsByYear W28926346972019 @default.
• W2892634697 countsByYear W28926346972020 @default.
• W2892634697 countsByYear W28926346972021 @default.
• W2892634697 countsByYear W28926346972022 @default.
• W2892634697 countsByYear W28926346972023 @default.
• W2892634697 crossrefType "journal-article" @default.
• W2892634697 hasAuthorship W2892634697A5048472635 @default.
• W2892634697 hasAuthorship W2892634697A5060706069 @default.
• W2892634697 hasAuthorship W2892634697A5073915674 @default.
• W2892634697 hasAuthorship W2892634697A5078548585 @default.
• W2892634697 hasConcept C120417685 @default.
• W2892634697 hasConcept C121332964 @default.
• W2892634697 hasConcept C124101348 @default.
• W2892634697 hasConcept C136764020 @default.
• W2892634697 hasConcept C154945302 @default.
• W2892634697 hasConcept C166957645 @default.
• W2892634697 hasConcept C205649164 @default.
• W2892634697 hasConcept C23123220 @default.
• W2892634697 hasConcept C2779662365 @default.
• W2892634697 hasConcept C41008148 @default.
• W2892634697 hasConcept C518677369 @default.
• W2892634697 hasConcept C53605480 @default.
• W2892634697 hasConcept C62520636 @default.
• W2892634697 hasConcept C74256435 @default.
• W2892634697 hasConceptScore W2892634697C120417685 @default.
• W2892634697 hasConceptScore W2892634697C121332964 @default.
• W2892634697 hasConceptScore W2892634697C124101348 @default.
• W2892634697 hasConceptScore W2892634697C136764020 @default.
• W2892634697 hasConceptScore W2892634697C154945302 @default.
• W2892634697 hasConceptScore W2892634697C166957645 @default.
• W2892634697 hasConceptScore W2892634697C205649164 @default.
• W2892634697 hasConceptScore W2892634697C23123220 @default.
• W2892634697 hasConceptScore W2892634697C2779662365 @default.
• W2892634697 hasConceptScore W2892634697C41008148 @default.
• W2892634697 hasConceptScore W2892634697C518677369 @default.
• W2892634697 hasConceptScore W2892634697C53605480 @default.
• W2892634697 hasConceptScore W2892634697C62520636 @default.
• W2892634697 hasConceptScore W2892634697C74256435 @default.
• W2892634697 hasIssue "11" @default.
• W2892634697 hasLocation W28926346971 @default.
• W2892634697 hasOpenAccess W2892634697 @default.
• W2892634697 hasPrimaryLocation W28926346971 @default.
• W2892634697 hasRelatedWork W2023229676 @default.
• W2892634697 hasRelatedWork W2748952813 @default.
• W2892634697 hasRelatedWork W2892634697 @default.
• W2892634697 hasRelatedWork W2955594082 @default.
• W2892634697 hasRelatedWork W3115695492 @default.
• W2892634697 hasRelatedWork W4286560687 @default.
• W2892634697 hasRelatedWork W4300107050 @default.
• W2892634697 hasRelatedWork W4321489327 @default.

• next