<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-UXY6UBCY</identifier><date>2014</date><creator>Blatnik, Aljaž</creator><creator>Jarm, Kaja</creator><creator>Meža, Marko</creator><relation>documents/doc/U/URN_NBN_SI_doc-UXY6UBCY_001.pdf</relation><relation>documents/doc/U/URN_NBN_SI_doc-UXY6UBCY_001.txt</relation><format format_type="issue">4</format><format format_type="volume">81</format><format format_type="type">article</format><format format_type="extent">str. 160-166</format><identifier identifier_type="ISSN">0013-5852</identifier><identifier identifier_type="COBISSID">10880340</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-UXY6UBCY</identifier><language>eng</language><publisher>Elektrotehniška zveza Slovenije</publisher><source>Elektrotehniški vestnik</source><rights>InC</rights><subject language_type_id="slv">analiza</subject><subject language_type_id="eng">analysis</subject><subject language_type_id="eng">classification</subject><subject language_type_id="eng">data</subject><subject language_type_id="slv">klasifikacija</subject><subject language_type_id="eng">machine learning</subject><subject language_type_id="slv">mnenje</subject><subject language_type_id="eng">opinion</subject><subject language_type_id="slv">podatki</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="eng">text mining</subject><subject language_type_id="eng">Twitter</subject><title>Movie sentiment analysis based on public tweets</title></Record>