<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-V5XEMZ5T</identifier><date>2023</date><creator>Kaur, Kamaldeep</creator><creator>Sharma, Tanu</creator><relation>documents/doc/V/URN_NBN_SI_doc-V5XEMZ5T_001.pdf</relation><relation>documents/doc/V/URN_NBN_SI_doc-V5XEMZ5T_001.txt</relation><format format_type="volume">47</format><format format_type="issue">6</format><format format_type="type">article</format><format format_type="extent">str. 115-129</format><identifier identifier_type="DOI">10.31449/inf.v47i6.4607</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">207944195</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-V5XEMZ5T</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">avtomobili</subject><subject language_type_id="slv">mehka metoda</subject><subject language_type_id="slv">nevronske mreže</subject><subject language_type_id="slv">razvrščanje sentimenta</subject><subject language_type_id="slv">spletna trgovina</subject><subject language_type_id="slv">umetna inteligenca</subject><title>A deep learning-fuzzy based hybrid ensemble approach for aspect level sentiment classification</title></Record>