Matches in SemOpenAlex for { <https://semopenalex.org/work/W2347059126> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2347059126 endingPage "92" @default.
- W2347059126 startingPage "80" @default.
- W2347059126 abstract "Detecting and preventing outbreaks of mosquito-borne diseases such as Dengue and Zika in Brasil and other tropical regions has long been a priority for governments in affected areas. Streaming social media content, such as Twitter, is increasingly being used for health vigilance applications such as flu detection. However, previous work has not addressed the complexity of drastic seasonal changes on Twitter content across multiple epidemic outbreaks. In order to address this gap, this paper contrasts two complementary approaches to detecting Twitter content that is relevant for Dengue outbreak detection, namely supervised classification and unsupervised clustering using topic modelling. Each approach has benefits and shortcomings. Our classifier achieves a prediction accuracy of about 80 % based on a small training set of about 1,000 instances, but the need for manual annotation makes it hard to track seasonal changes in the nature of the epidemics, such as the emergence of new types of virus in certain geographical locations. In contrast, LDA-based topic modelling scales well, generating cohesive and well-separated clusters from larger samples. While clusters can be easily re-generated following changes in epidemics, however, this approach makes it hard to clearly segregate relevant tweets into well-defined clusters." @default.
- W2347059126 created "2016-06-24" @default.
- W2347059126 creator A5000065763 @default.
- W2347059126 creator A5007792821 @default.
- W2347059126 creator A5017968638 @default.
- W2347059126 creator A5018918066 @default.
- W2347059126 creator A5027260014 @default.
- W2347059126 creator A5077561438 @default.
- W2347059126 creator A5079640086 @default.
- W2347059126 creator A5081049553 @default.
- W2347059126 date "2016-01-01" @default.
- W2347059126 modified "2023-10-16" @default.
- W2347059126 title "Tracking Dengue Epidemics Using Twitter Content Classification and Topic Modelling" @default.
- W2347059126 cites W1550071148 @default.
- W2347059126 cites W1987971958 @default.
- W2347059126 cites W2028085927 @default.
- W2347059126 cites W2048444585 @default.
- W2347059126 cites W2076219102 @default.
- W2347059126 cites W2109734180 @default.
- W2347059126 cites W2123661878 @default.
- W2347059126 cites W2124499489 @default.
- W2347059126 cites W2141701578 @default.
- W2347059126 cites W2949731435 @default.
- W2347059126 cites W40976687 @default.
- W2347059126 doi "https://doi.org/10.1007/978-3-319-46963-8_7" @default.
- W2347059126 hasPublicationYear "2016" @default.
- W2347059126 type Work @default.
- W2347059126 sameAs 2347059126 @default.
- W2347059126 citedByCount "25" @default.
- W2347059126 countsByYear W23470591262017 @default.
- W2347059126 countsByYear W23470591262018 @default.
- W2347059126 countsByYear W23470591262019 @default.
- W2347059126 countsByYear W23470591262020 @default.
- W2347059126 countsByYear W23470591262021 @default.
- W2347059126 countsByYear W23470591262022 @default.
- W2347059126 countsByYear W23470591262023 @default.
- W2347059126 crossrefType "book-chapter" @default.
- W2347059126 hasAuthorship W2347059126A5000065763 @default.
- W2347059126 hasAuthorship W2347059126A5007792821 @default.
- W2347059126 hasAuthorship W2347059126A5017968638 @default.
- W2347059126 hasAuthorship W2347059126A5018918066 @default.
- W2347059126 hasAuthorship W2347059126A5027260014 @default.
- W2347059126 hasAuthorship W2347059126A5077561438 @default.
- W2347059126 hasAuthorship W2347059126A5079640086 @default.
- W2347059126 hasAuthorship W2347059126A5081049553 @default.
- W2347059126 hasBestOaLocation W23470591262 @default.
- W2347059126 hasConcept C119857082 @default.
- W2347059126 hasConcept C124101348 @default.
- W2347059126 hasConcept C136764020 @default.
- W2347059126 hasConcept C154945302 @default.
- W2347059126 hasConcept C203014093 @default.
- W2347059126 hasConcept C2522767166 @default.
- W2347059126 hasConcept C2776321320 @default.
- W2347059126 hasConcept C41008148 @default.
- W2347059126 hasConcept C518677369 @default.
- W2347059126 hasConcept C533803919 @default.
- W2347059126 hasConcept C73555534 @default.
- W2347059126 hasConcept C86803240 @default.
- W2347059126 hasConcept C95623464 @default.
- W2347059126 hasConceptScore W2347059126C119857082 @default.
- W2347059126 hasConceptScore W2347059126C124101348 @default.
- W2347059126 hasConceptScore W2347059126C136764020 @default.
- W2347059126 hasConceptScore W2347059126C154945302 @default.
- W2347059126 hasConceptScore W2347059126C203014093 @default.
- W2347059126 hasConceptScore W2347059126C2522767166 @default.
- W2347059126 hasConceptScore W2347059126C2776321320 @default.
- W2347059126 hasConceptScore W2347059126C41008148 @default.
- W2347059126 hasConceptScore W2347059126C518677369 @default.
- W2347059126 hasConceptScore W2347059126C533803919 @default.
- W2347059126 hasConceptScore W2347059126C73555534 @default.
- W2347059126 hasConceptScore W2347059126C86803240 @default.
- W2347059126 hasConceptScore W2347059126C95623464 @default.
- W2347059126 hasLocation W23470591261 @default.
- W2347059126 hasLocation W23470591262 @default.
- W2347059126 hasOpenAccess W2347059126 @default.
- W2347059126 hasPrimaryLocation W23470591261 @default.
- W2347059126 hasRelatedWork W1529400504 @default.
- W2347059126 hasRelatedWork W1892467659 @default.
- W2347059126 hasRelatedWork W2556319748 @default.
- W2347059126 hasRelatedWork W2748952813 @default.
- W2347059126 hasRelatedWork W2961085424 @default.
- W2347059126 hasRelatedWork W4285260836 @default.
- W2347059126 hasRelatedWork W4286629047 @default.
- W2347059126 hasRelatedWork W4306321456 @default.
- W2347059126 hasRelatedWork W4306674287 @default.
- W2347059126 hasRelatedWork W4224009465 @default.
- W2347059126 isParatext "false" @default.
- W2347059126 isRetracted "false" @default.
- W2347059126 magId "2347059126" @default.
- W2347059126 workType "book-chapter" @default.