<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-DDDPAGJ4</identifier><date>2023</date><creator>Mehra, Ritika</creator><creator>Tandron, Vrinda</creator><relation>documents/doc/D/URN_NBN_SI_doc-DDDPAGJ4_001.pdf</relation><relation>documents/doc/D/URN_NBN_SI_doc-DDDPAGJ4_001.txt</relation><format format_type="issue">2</format><format format_type="volume">47</format><format format_type="type">article</format><format format_type="extent">str. 213-220</format><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="DOI">10.31449/inf.v47i2.4390</identifier><identifier identifier_type="COBISSID">196451843</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-DDDPAGJ4</identifier><language>eng</language><publisher publisher_location="Ljubljana">Slovene Society Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">čustva</subject><subject language_type_id="slv">razpoloženje</subject><subject language_type_id="slv">Twitter</subject><subject language_type_id="slv">umetna inteligenca</subject><title>An integrated approach for analysing sentiments on social media</title></Record>