<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-IQTCNTXZ</identifier><date>2021</date><creator>Li, Jinze</creator><creator>Wang, Jun</creator><creator>Wang, Yizhen</creator><relation>documents/doc/I/URN_NBN_SI_doc-IQTCNTXZ_001.pdf</relation><relation>documents/doc/I/URN_NBN_SI_doc-IQTCNTXZ_001.txt</relation><format format_type="issue">1</format><format format_type="volume">45</format><format format_type="type">article</format><format format_type="extent">str. 149-156</format><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="DOI">10.31449/inf.v45i1.3402</identifier><identifier identifier_type="COBISSID_HOST">69653763</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-IQTCNTXZ</identifier><language>eng</language><publisher>Slovensko društvo Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">globoke mreže</subject><subject language_type_id="slv">mentalno zdravje</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>An analysis of emotional tendency under the network public opinion</title><title>deep learning</title></Record>