<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-762ZK2FW</identifier><date>2025</date><creator>Das, Kana</creator><relation>documents/doc/7/URN_NBN_SI_doc-762ZK2FW_001.pdf</relation><relation>documents/doc/7/URN_NBN_SI_doc-762ZK2FW_001.txt</relation><format format_type="issue">14</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 127-141</format><identifier identifier_type="DOI">10.31449/inf.v49i14.6494</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">241697027</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-762ZK2FW</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">COVID-19</subject><subject language_type_id="slv">globoko učenje</subject><subject language_type_id="slv">klasifikacija</subject><subject language_type_id="slv">novice</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Deciphering COVID-19 narratives</title><title>a comparative study of ML models (RF, MNB, GB, LR, SVM) and DL models (CNN, Bi-LSTM) for news article classification</title></Record>