<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-IW97DVCM</identifier><date>2024</date><creator>Fatai, Jimoh</creator><creator>Saraee, Muhamad</creator><creator>Taiwo, Gbadegesin Adetayo</creator><relation>documents/doc/I/URN_NBN_SI_doc-IW97DVCM_001.pdf</relation><relation>documents/doc/I/URN_NBN_SI_doc-IW97DVCM_001.txt</relation><format format_type="volume">48</format><format format_type="issue">6</format><format format_type="type">article</format><format format_type="extent">str. 35-41</format><identifier identifier_type="DOI">10.31449/inf.v48i6.4749</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">214405635</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-IW97DVCM</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">algoritmi</subject><subject language_type_id="slv">analiza sentimenta</subject><subject language_type_id="slv">kriminal</subject><subject language_type_id="eng">SHAP</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">Twitter</subject><subject language_type_id="slv">umetna inteligenca</subject><subject language_type_id="eng">XGBoost</subject><title>Crime prediction using Twitter sentiments and crime data</title></Record>