<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-G3A67XMB</identifier><date>2019</date><creator>Tiwari, Prayag</creator><relation>documents/doc/G/URN_NBN_SI_doc-G3A67XMB_001.pdf</relation><relation>documents/doc/G/URN_NBN_SI_doc-G3A67XMB_001.txt</relation><format format_type="issue">3</format><format format_type="volume">43</format><format format_type="type">article</format><format format_type="extent">str. 381-386</format><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="COBISSID_HOST">32997415</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-G3A67XMB</identifier><language>eng</language><publisher>Slovensko društvo Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">analiza</subject><subject language_type_id="slv">računalništvo</subject><subject language_type_id="slv">rudarjenje podatkov</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">Twitter</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Twitter-based opinion mining for flight service utilizing machine learning</title></Record>