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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher">setsci</journal-id>
   <journal-title-group>
    <journal-title>SETSCI Conference Proceedings</journal-title>
   </journal-title-group>
   <issn publication-format="electronic">2687-5527</issn>
   <publisher>
    <publisher-name>SET Technology</publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">10.36287/setsci.4.6.020</article-id>
   <article-id pub-id-type="publisher-id">6d4e706b-64ed-4ac2-9f4b-54838ef72f3b</article-id>
   <title-group>
    <article-title>Determination of Furniture Trends in Different Cities Based on Twitter Data in Terms of Gender</article-title>
   </title-group>
   <contrib-group>
    <contrib contrib-type="author">
     <name>
      <surname>Bardak</surname>
      <given-names>Timuçin</given-names>
     </name>
     <xref ref-type="aff" rid="aff1"/>
    </contrib>
    <contrib contrib-type="author" corresp="yes">
     <name>
      <surname>Bardak</surname>
      <given-names>Selahattin</given-names>
     </name>
     <xref ref-type="aff" rid="aff2"/>
    </contrib>
   </contrib-group>
   <aff id="aff1">
    <institution>Bartın University</institution>
   </aff>
   <aff id="aff2">
    <institution>Sinop University</institution>
   </aff>
   <pub-date date-type="pub">
    <day>22</day>
    <month>12</month>
    <year>2019</year>
   </pub-date>
   <volume>9</volume>
   <fpage>52</fpage>
   <lpage>54</lpage>
   <permissions>
    <copyright-statement>© 2019 SET Technology</copyright-statement>
    <copyright-year>2019</copyright-year>
    <copyright-holder>SET Technology</copyright-holder>
    <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
     <license-p>CC BY 4.0</license-p>
    </license>
   </permissions>
   <abstract>
    <p>The increase in firms in the furniture industry has made competition difficult. In this competitive environment, it is important to collect data and extract meaningful information. Every second, large amounts of data are generated on the Internet. The use of social media in our country and in the world is constantly increasing. Therefore, social media offers great opportunities to examine markets and understand consumers. Knowing consumers provides competitive advantage in terms of competition. It is expensive and time consuming to learn about consumers through traditional methods. At this point, social networks such as Twitter have become an important alternative. You can get to Twitter about popular topics, people and places in real time. There are very limited number of publications on the use of data in social media in our country. In this study, tweets with “furniture” in Istanbul and Antalya were collected. Then, the rates of men and women who wrote tweets in these provinces were determined. In this way, Antalya and Istanbul were compared. Rapidminer software is used to collect tweets. Rapidminer software is widely used in data related studies. The results of the study showed that tweet data can be used effectively to identify consumers.</p>
   </abstract>
   <kwd-group xml:lang="en">
    <kwd>Furniture, social media, twitter, consumer, gender</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>Furniture, social media, twitter, consumer, gender</kwd>
   </kwd-group>
  </article-meta>
 </front>
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