<ctx:context-object xsi:schemaLocation="info:ofi/fmt:xml:xsd:ctx http://www.openurl.info/registry/docs/info:ofi/fmt:xml:xsd:ctx" timestamp="2026-06-29T03:46:41Z" xmlns:ctx="info:ofi/fmt:xml:xsd:ctx" xmlns:xsi="http://www.w3.org/2001/XML"><ctx:referent><ctx:identifier>info:oai:eprints.amikom.ac.id:31780</ctx:identifier><ctx:metadata-by-val><ctx:format>info:ofi/fmt:xml:xsd:dissertation</ctx:format><ctx:metadata><dis:journal xsi:schemaLocation="info:ofi/fmt:xml:xsd:dissertation http://www.openurl.info/registry/docs/info:ofi/fmt:xml:xsd:dissertation" xmlns:dis="info:ofi/fmt:xml:xsd:dissertation"><dis:authors><dis:author><dis:aulast>Syafutra</dis:aulast><dis:aufirst>Arif Dwi</dis:aufirst><dis:au>Syafutra, Arif Dwi</dis:au></dis:author></dis:authors><dis:date>1 December 2025</dis:date><dis:title>ANALISIS SENTIMEN TENTANG OMNIBUS LAW DI TWITTER DENGAN MACHINE LEARNING</dis:title><dis:degree>S2 - Magister</dis:degree><dis:inst>Universitas AMIKOM Yogyakarta</dis:inst></dis:journal></ctx:metadata></ctx:metadata-by-val></ctx:referent></ctx:context-object>