<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-MUAW7QK6</identifier><date>2022</date><creator>Al-Sayyed, Rizik</creator><creator>Odeh, Aseel</creator><creator>Suleiman, Dima</creator><relation>documents/doc/M/URN_NBN_SI_doc-MUAW7QK6_001.pdf</relation><relation>documents/doc/M/URN_NBN_SI_doc-MUAW7QK6_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. 79-86</format><identifier identifier_type="DOI">10.31449/inf.v46i6.4199</identifier><identifier identifier_type="COBISSID_HOST">123028483</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-MUAW7QK6</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>Arabic sentiment analysis using naive Bayes and CNN-LSTM</title></Record>