Matches in SemOpenAlex for { <https://semopenalex.org/work/W2980459933> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W2980459933 abstract "With the rise of opioid abuse in the US, there has been a growth of overlapping hotspots for overdose-related and HIV-related deaths in Springfield, Boston, Fall River, New Bedford, and parts of Cape Cod. With a large part of population, including rural communities, active on social media, it is crucial that we leverage the predictive power of social media as a preventive measure. We explore the predictive power of micro-blogging social media website Twitter with respect to HIV new diagnosis rates per county. While trending work in Twitter NLP has focused on primarily text-based features, we show that multi-dimensional feature construction can significantly improve the predictive power of topic features alone with respect STI's (sexually transmitted infections). By multi-dimensional features, we mean leveraging not only the topical features (text) of a corpus, but also location-based information (counties) about the tweets in feature-construction. We develop novel text-location-based smoothing features to predict new diagnoses of HIV." @default.
- W2980459933 created "2019-10-25" @default.
- W2980459933 creator A5022090336 @default.
- W2980459933 creator A5029099511 @default.
- W2980459933 creator A5081930502 @default.
- W2980459933 date "2019-10-15" @default.
- W2980459933 modified "2023-10-18" @default.
- W2980459933 title "Multi-dimensional Features for Prediction with Tweets" @default.
- W2980459933 cites W2122369144 @default.
- W2980459933 cites W2166434810 @default.
- W2980459933 cites W2251628179 @default.
- W2980459933 cites W2398287226 @default.
- W2980459933 hasPublicationYear "2019" @default.
- W2980459933 type Work @default.
- W2980459933 sameAs 2980459933 @default.
- W2980459933 citedByCount "0" @default.
- W2980459933 crossrefType "posted-content" @default.
- W2980459933 hasAuthorship W2980459933A5022090336 @default.
- W2980459933 hasAuthorship W2980459933A5029099511 @default.
- W2980459933 hasAuthorship W2980459933A5081930502 @default.
- W2980459933 hasConcept C111472728 @default.
- W2980459933 hasConcept C119857082 @default.
- W2980459933 hasConcept C136764020 @default.
- W2980459933 hasConcept C138885662 @default.
- W2980459933 hasConcept C153083717 @default.
- W2980459933 hasConcept C154945302 @default.
- W2980459933 hasConcept C204321447 @default.
- W2980459933 hasConcept C2522767166 @default.
- W2980459933 hasConcept C2776401178 @default.
- W2980459933 hasConcept C2778136018 @default.
- W2980459933 hasConcept C31972630 @default.
- W2980459933 hasConcept C3770464 @default.
- W2980459933 hasConcept C41008148 @default.
- W2980459933 hasConcept C41895202 @default.
- W2980459933 hasConcept C518677369 @default.
- W2980459933 hasConceptScore W2980459933C111472728 @default.
- W2980459933 hasConceptScore W2980459933C119857082 @default.
- W2980459933 hasConceptScore W2980459933C136764020 @default.
- W2980459933 hasConceptScore W2980459933C138885662 @default.
- W2980459933 hasConceptScore W2980459933C153083717 @default.
- W2980459933 hasConceptScore W2980459933C154945302 @default.
- W2980459933 hasConceptScore W2980459933C204321447 @default.
- W2980459933 hasConceptScore W2980459933C2522767166 @default.
- W2980459933 hasConceptScore W2980459933C2776401178 @default.
- W2980459933 hasConceptScore W2980459933C2778136018 @default.
- W2980459933 hasConceptScore W2980459933C31972630 @default.
- W2980459933 hasConceptScore W2980459933C3770464 @default.
- W2980459933 hasConceptScore W2980459933C41008148 @default.
- W2980459933 hasConceptScore W2980459933C41895202 @default.
- W2980459933 hasConceptScore W2980459933C518677369 @default.
- W2980459933 hasLocation W29804599331 @default.
- W2980459933 hasOpenAccess W2980459933 @default.
- W2980459933 hasPrimaryLocation W29804599331 @default.
- W2980459933 hasRelatedWork W1589856949 @default.
- W2980459933 hasRelatedWork W2049271634 @default.
- W2980459933 hasRelatedWork W2147876157 @default.
- W2980459933 hasRelatedWork W2171410332 @default.
- W2980459933 hasRelatedWork W2285004539 @default.
- W2980459933 hasRelatedWork W2316670826 @default.
- W2980459933 hasRelatedWork W2508797190 @default.
- W2980459933 hasRelatedWork W2593266007 @default.
- W2980459933 hasRelatedWork W2731051312 @default.
- W2980459933 hasRelatedWork W2753505298 @default.
- W2980459933 hasRelatedWork W2755020020 @default.
- W2980459933 hasRelatedWork W2775410442 @default.
- W2980459933 hasRelatedWork W2796512554 @default.
- W2980459933 hasRelatedWork W2797135847 @default.
- W2980459933 hasRelatedWork W2915268565 @default.
- W2980459933 hasRelatedWork W2991252005 @default.
- W2980459933 hasRelatedWork W2998473471 @default.
- W2980459933 hasRelatedWork W3105206212 @default.
- W2980459933 hasRelatedWork W3171733996 @default.
- W2980459933 hasRelatedWork W3174942871 @default.
- W2980459933 isParatext "false" @default.
- W2980459933 isRetracted "false" @default.
- W2980459933 magId "2980459933" @default.
- W2980459933 workType "article" @default.