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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.4 20241031//EN"
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<article  article-type="research-article"        dtd-version="1.4">
            <front>

                <journal-meta>
                                                                <journal-id>saucis</journal-id>
            <journal-title-group>
                                                                                    <journal-title>Sakarya University Journal of Computer and Information Sciences</journal-title>
            </journal-title-group>
                                        <issn pub-type="epub">2636-8129</issn>
                                                                                            <publisher>
                    <publisher-name>Sakarya University</publisher-name>
                </publisher>
                    </journal-meta>
                <article-meta>
                                        <article-id pub-id-type="doi">10.35377/saucis...1088304</article-id>
                                                                <article-categories>
                                            <subj-group  xml:lang="en">
                                                            <subject>Software Engineering</subject>
                                                            <subject>Computer Software</subject>
                                                    </subj-group>
                                            <subj-group  xml:lang="tr">
                                                            <subject>Yazılım Mühendisliği</subject>
                                                            <subject>Bilgisayar Yazılımı</subject>
                                                    </subj-group>
                                    </article-categories>
                                                                                                                                                        <title-group>
                                                                                                                        <article-title>Sentiment Analysis on the Metaverse: Twitter Data</article-title>
                                                                                                                                        </title-group>
            
                                                    <contrib-group content-type="authors">
                                                                        <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0003-1806-7759</contrib-id>
                                                                <name>
                                    <surname>Akkuzukaya</surname>
                                    <given-names>Gulsum</given-names>
                                </name>
                                                                    <aff>KIRŞEHİR AHİ EVRAN ÜNİVERSİTESİ</aff>
                                                            </contrib>
                                                                                </contrib-group>
                        
                                        <pub-date pub-type="pub" iso-8601-date="20220831">
                    <day>08</day>
                    <month>31</month>
                    <year>2022</year>
                </pub-date>
                                        <volume>5</volume>
                                        <issue>2</issue>
                                        <fpage>147</fpage>
                                        <lpage>156</lpage>
                        
                        <history>
                                    <date date-type="received" iso-8601-date="20220315">
                        <day>03</day>
                        <month>15</month>
                        <year>2022</year>
                    </date>
                                                    <date date-type="accepted" iso-8601-date="20220607">
                        <day>06</day>
                        <month>07</month>
                        <year>2022</year>
                    </date>
                            </history>
                                        <permissions>
                    <copyright-statement>Copyright © 2018, Sakarya University Journal of Computer and Information Sciences</copyright-statement>
                    <copyright-year>2018</copyright-year>
                    <copyright-holder>Sakarya University Journal of Computer and Information Sciences</copyright-holder>
                </permissions>
            
                                                                                                <abstract><p>In recent days, the metaverse which is defined as virtual-reality space in which people can interact with each other in a computer-generated environment, has attracted people’s attention. People have posted their opinions about the metaverse on social media platforms. Twitter is one of those platforms in which people have tweeted about the metaverse.  Tweets help researchers to understand public attitudes on a subject. This research focuses on two analyses: The first one used sentiment analysis on Turkish tweets about various alternative words of the  metaverse, such as karma evren, misal evren, ote evren, sahte dunya, sanal evren and internet otesi.  The second focus of our research was on an analysis of a questionnaire that aimed to understand whether people are aware of the metaverse and willing to experience it or not. The result of sentiment analysis showed that the most of the collected tweets were positive about the collected tweets. The questionnaire analysis showed that the majority of participants were aware of the metaverse and would like to experience that virtual space</p></abstract>
                                                                                    
            
                                                            <kwd-group>
                                                    <kwd>metaverse</kwd>
                                                    <kwd>  sentiment analysis</kwd>
                                                    <kwd>  social networks</kwd>
                                                    <kwd>  virtual reality</kwd>
                                                    <kwd>  twitter</kwd>
                                            </kwd-group>
                                                        
                                                                                                                                                    </article-meta>
    </front>
    <back>
                            <ref-list>
                                    <ref id="ref1">
                        <label>1</label>
                        <mixed-citation publication-type="journal">Akkuzu Kaya, G. Sentiment Analysis of Users’ Reactions to Deadly Disasters Posts in Turkey: Facebook Data . International Journal of Multidisciplinary Studies and Innovative Technologies , 5 (2) , 167-172 . (2021)</mixed-citation>
                    </ref>
                                    <ref id="ref2">
                        <label>2</label>
                        <mixed-citation publication-type="journal">Duan, H., Li, J., Fan, S., Lin, Z., Wu, X., &amp; Cai, W. Metaverse for social good: A university campus prototype. In Proceedings of the 29th ACM International Conference on Multimedia (pp. 153-161). (2021).</mixed-citation>
                    </ref>
                            </ref-list>
                    </back>
    </article>
