An Innovative Method of Temperament Identification Using Text Messages and Social Media History with Gated Recurrent Unit Algorithm in comparison with Support Vector Machine Algorithm for Improved Accuracy. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/M._Akshay_Kumar>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/S._Radhika>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1109%2FIC3I59117.2023.10397635>
foaf:homepage	<https://doi.org/10.1109/IC3I59117.2023.10397635>
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dcterms:issued	2023 (xsd:gYear)
rdfs:label	An Innovative Method of Temperament Identification Using Text Messages and Social Media History with Gated Recurrent Unit Algorithm in comparison with Support Vector Machine Algorithm for Improved Accuracy. (xsd:string)
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/M._Akshay_Kumar>
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swrc:pages	1492-1496 (xsd:string)
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swrc:series	<https://dblp.l3s.de/d2r/resource/conferences/ic3i>
dc:title	An Innovative Method of Temperament Identification Using Text Messages and Social Media History with Gated Recurrent Unit Algorithm in comparison with Support Vector Machine Algorithm for Improved Accuracy. (xsd:string)
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