<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-PN6WFP57</identifier><date>2022</date><creator>Djeffal, Abdelhamid</creator><creator>Mazari, Ahmed Cherif</creator><relation>documents/doc/P/URN_NBN_SI_doc-PN6WFP57_001.pdf</relation><relation>documents/doc/P/URN_NBN_SI_doc-PN6WFP57_001.txt</relation><format format_type="volume">46</format><format format_type="issue">6</format><format format_type="type">article</format><format format_type="extent">str. 67-78</format><identifier identifier_type="DOI">10.31449/inf.v46i6.3340</identifier><identifier identifier_type="COBISSID_HOST">123024643</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-PN6WFP57</identifier><language>eng</language><publisher>Slovensko društvo Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">analiza razpoloženja</subject><subject language_type_id="slv">globoko učenje</subject><subject language_type_id="slv">naravni jeziki</subject><subject language_type_id="slv">računalništvo</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Sentiment analysis of Algerian dialect using machine learning and deep learning with Word2vec</title></Record>