FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3042910655> ?p ?o ?g. }

• W3042910655 endingPage "131533" @default.
• W3042910655 startingPage "131522" @default.
• W3042910655 abstract "With the increased usage of Web 2.0 and data-affluent tools such as social media platforms and web blog services, the challenge of extracting public sentiment and disseminating personal health information has become more common than ever in the last decade. This paper proposes a novel model for Dengue disease detection based on social media posts alone. The model does not access any personal information of people or any medical record. The model extracts the presence of patients infected with Dengue disease based on tweets only and decides whether it is a general discussion about the disease, and no one is actually infected, or people are actually infected with that disease. The identification of people infected with Dengue is determined by clinical tests, but the propose technique is used for automatic surveillance and identification of regions where the spread is happening at an alarming rate and guide healthcare professional to take necessary actions to control the spread. This paper uses different machine/deep learning approaches to utilize tweets data for automatic and efficient disease detection. Experimental results demonstrate that the proposed model is able to achieve 92% accuracy compared to the current state-of-the-art techniques in this domain." @default.
• W3042910655 created "2020-07-23" @default.
• W3042910655 creator A5010706593 @default.
• W3042910655 creator A5036425195 @default.
• W3042910655 creator A5044943114 @default.
• W3042910655 creator A5047672519 @default.
• W3042910655 creator A5074405334 @default.
• W3042910655 creator A5077905182 @default.
• W3042910655 creator A5091515770 @default.
• W3042910655 date "2020-01-01" @default.
• W3042910655 modified "2023-10-16" @default.
• W3042910655 title "Recurrent Neural Networks With TF-IDF Embedding Technique for Detection and Classification in Tweets of Dengue Disease" @default.
• W3042910655 cites W1714504487 @default.
• W3042910655 cites W1924689489 @default.
• W3042910655 cites W1975845483 @default.
• W3042910655 cites W2004147962 @default.
• W3042910655 cites W2019109450 @default.
• W3042910655 cites W2064675550 @default.
• W3042910655 cites W2082672703 @default.
• W3042910655 cites W2107878631 @default.
• W3042910655 cites W2135498674 @default.
• W3042910655 cites W2139188905 @default.
• W3042910655 cites W2171468534 @default.
• W3042910655 cites W2250539671 @default.
• W3042910655 cites W2306941105 @default.
• W3042910655 cites W2322190778 @default.
• W3042910655 cites W2347059126 @default.
• W3042910655 cites W2405148542 @default.
• W3042910655 cites W2472612510 @default.
• W3042910655 cites W2587485895 @default.
• W3042910655 cites W2601783998 @default.
• W3042910655 cites W2736378022 @default.
• W3042910655 cites W2741216199 @default.
• W3042910655 cites W2766013390 @default.
• W3042910655 cites W2766661002 @default.
• W3042910655 cites W2772996183 @default.
• W3042910655 cites W2783664002 @default.
• W3042910655 cites W2789381457 @default.
• W3042910655 cites W2791200561 @default.
• W3042910655 cites W2808021542 @default.
• W3042910655 cites W2883541885 @default.
• W3042910655 cites W2886028207 @default.
• W3042910655 cites W2890908069 @default.
• W3042910655 cites W2895594814 @default.
• W3042910655 cites W2902729573 @default.
• W3042910655 cites W2903993206 @default.
• W3042910655 cites W2921530794 @default.
• W3042910655 cites W2940355763 @default.
• W3042910655 cites W2940658965 @default.
• W3042910655 cites W2940825498 @default.
• W3042910655 cites W2945392980 @default.
• W3042910655 cites W2947899520 @default.
• W3042910655 cites W2972887572 @default.
• W3042910655 cites W2996806689 @default.
• W3042910655 cites W3002783327 @default.
• W3042910655 cites W3005573866 @default.
• W3042910655 cites W4211258374 @default.
• W3042910655 cites W4239510810 @default.
• W3042910655 cites W4294214983 @default.
• W3042910655 doi "https://doi.org/10.1109/access.2020.3009058" @default.
• W3042910655 hasPublicationYear "2020" @default.
• W3042910655 type Work @default.
• W3042910655 sameAs 3042910655 @default.
• W3042910655 citedByCount "30" @default.
• W3042910655 countsByYear W30429106552020 @default.
• W3042910655 countsByYear W30429106552021 @default.
• W3042910655 countsByYear W30429106552022 @default.
• W3042910655 countsByYear W30429106552023 @default.
• W3042910655 crossrefType "journal-article" @default.
• W3042910655 hasAuthorship W3042910655A5010706593 @default.
• W3042910655 hasAuthorship W3042910655A5036425195 @default.
• W3042910655 hasAuthorship W3042910655A5044943114 @default.
• W3042910655 hasAuthorship W3042910655A5047672519 @default.
• W3042910655 hasAuthorship W3042910655A5074405334 @default.
• W3042910655 hasAuthorship W3042910655A5077905182 @default.
• W3042910655 hasAuthorship W3042910655A5091515770 @default.
• W3042910655 hasBestOaLocation W30429106551 @default.
• W3042910655 hasConcept C101738243 @default.
• W3042910655 hasConcept C153180895 @default.
• W3042910655 hasConcept C154945302 @default.
• W3042910655 hasConcept C159047783 @default.
• W3042910655 hasConcept C41008148 @default.
• W3042910655 hasConcept C50644808 @default.
• W3042910655 hasConcept C533803919 @default.
• W3042910655 hasConcept C71924100 @default.
• W3042910655 hasConceptScore W3042910655C101738243 @default.
• W3042910655 hasConceptScore W3042910655C153180895 @default.
• W3042910655 hasConceptScore W3042910655C154945302 @default.
• W3042910655 hasConceptScore W3042910655C159047783 @default.
• W3042910655 hasConceptScore W3042910655C41008148 @default.
• W3042910655 hasConceptScore W3042910655C50644808 @default.
• W3042910655 hasConceptScore W3042910655C533803919 @default.
• W3042910655 hasConceptScore W3042910655C71924100 @default.
• W3042910655 hasLocation W30429106551 @default.
• W3042910655 hasOpenAccess W3042910655 @default.
• W3042910655 hasPrimaryLocation W30429106551 @default.
• W3042910655 hasRelatedWork W2292254049 @default.
• W3042910655 hasRelatedWork W2592385986 @default.

• next