Journal article Open Access

Short‐text feature expansion and classification based on nonnegative matrix factorization

Zhang, Ling; Jiang, Wenchao; Zhao, Zhiming


DCAT Export

<?xml version='1.0' encoding='utf-8'?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#">
  <rdf:Description rdf:about="https://zenodo.org/record/4042991">
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/4042991</dct:identifier>
    <foaf:page rdf:resource="https://zenodo.org/record/4042991"/>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Zhang, Ling</foaf:name>
        <foaf:givenName>Ling</foaf:givenName>
        <foaf:familyName>Zhang</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Guangdong University of Technology</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Jiang, Wenchao</foaf:name>
        <foaf:givenName>Wenchao</foaf:givenName>
        <foaf:familyName>Jiang</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Guangdong University of Technology</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description rdf:about="http://orcid.org/0000-0002-6717-9418">
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">0000-0002-6717-9418</dct:identifier>
        <foaf:name>Zhao, Zhiming</foaf:name>
        <foaf:givenName>Zhiming</foaf:givenName>
        <foaf:familyName>Zhao</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>University of Amsterdam</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:title>Short‐text feature expansion and classification based on nonnegative matrix factorization</dct:title>
    <dct:publisher>
      <foaf:Agent>
        <foaf:name>Zenodo</foaf:name>
      </foaf:Agent>
    </dct:publisher>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2020</dct:issued>
    <dcat:keyword>correlation</dcat:keyword>
    <dcat:keyword>feature extension</dcat:keyword>
    <dcat:keyword>nonnegative matrix factorization</dcat:keyword>
    <dcat:keyword>short text classification</dcat:keyword>
    <frapo:isFundedBy rdf:resource="info:eu-repo/grantAgreement/EC/H2020/862409/"/>
    <schema:funder>
      <foaf:Organization>
        <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/501100000780</dct:identifier>
        <foaf:name>European Commission</foaf:name>
      </foaf:Organization>
    </schema:funder>
    <frapo:isFundedBy rdf:resource="info:eu-repo/grantAgreement/EC/H2020/825134/"/>
    <schema:funder>
      <foaf:Organization>
        <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/501100000780</dct:identifier>
        <foaf:name>European Commission</foaf:name>
      </foaf:Organization>
    </schema:funder>
    <frapo:isFundedBy rdf:resource="info:eu-repo/grantAgreement/EC/H2020/824068/"/>
    <schema:funder>
      <foaf:Organization>
        <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/501100000780</dct:identifier>
        <foaf:name>European Commission</foaf:name>
      </foaf:Organization>
    </schema:funder>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-09-22</dct:issued>
    <owl:sameAs rdf:resource="https://zenodo.org/record/4042991"/>
    <adms:identifier>
      <adms:Identifier>
        <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/4042991</skos:notation>
        <adms:schemeAgency>url</adms:schemeAgency>
      </adms:Identifier>
    </adms:identifier>
    <owl:sameAs rdf:resource="https://doi.org/10.1002/int.22290"/>
    <owl:versionInfo>camera ready</owl:versionInfo>
    <dct:description>&lt;p&gt;In this paper, a non‐negative matrix factorization feature&lt;/p&gt; &lt;p&gt;expansion (NMFFE) approach was proposed to&lt;/p&gt; &lt;p&gt;overcome the feature‐sparsity issue when expanding&lt;/p&gt; &lt;p&gt;features of short‐text. First, we took the internal relationships&lt;/p&gt; &lt;p&gt;of short texts and words into account when&lt;/p&gt; &lt;p&gt;segmenting words from texts and constructing their&lt;/p&gt; &lt;p&gt;relationship matrix. Second, we utilized the Dual&lt;/p&gt; &lt;p&gt;regularization non‐negative matrix tri‐factorization&lt;/p&gt; &lt;p&gt;(DNMTF) algorithm to obtain the words clustering&lt;/p&gt; &lt;p&gt;indicator matrix, which was used to get the feature&lt;/p&gt; &lt;p&gt;space by dimensionality reduction methods. Thirdly,&lt;/p&gt; &lt;p&gt;words with close relationship were selected out from&lt;/p&gt; &lt;p&gt;the feature space and added into the short‐text to solve&lt;/p&gt; &lt;p&gt;the sparsity issue. The experimental results showed&lt;/p&gt; &lt;p&gt;that the accuracy of short text classification of our&lt;/p&gt; &lt;p&gt;NMFFE algorithm increased 25.77%, 10.89%, and 1.79%&lt;/p&gt; &lt;p&gt;on three data sets: Web snippets, Twitter sports, and&lt;/p&gt; &lt;p&gt;AGnews, respectively compared with the Word2Vec&lt;/p&gt; &lt;p&gt;algorithm and Char‐CNN algorithm. It indicated that&lt;/p&gt; &lt;p&gt;the NMFFE algorithm was better than the BOW algorithm&lt;/p&gt; &lt;p&gt;and the Char‐CNN algorithm in terms of classification&lt;/p&gt; &lt;p&gt;accuracy and algorithm robustness.&lt;/p&gt;</dct:description>
    <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/>
    <dct:accessRights>
      <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess">
        <rdfs:label>Open Access</rdfs:label>
      </dct:RightsStatement>
    </dct:accessRights>
    <dct:license rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.1002/int.22290">https://doi.org/10.1002/int.22290</dcat:accessURL>
        <dcat:byteSize>985866</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/4042991/files/2020.jounal.intelligentsystems-proof.pdf">https://zenodo.org/record/4042991/files/2020.jounal.intelligentsystems-proof.pdf</dcat:downloadURL>
        <dcat:mediaType>application/pdf</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
  </rdf:Description>
  <foaf:Project rdf:about="info:eu-repo/grantAgreement/EC/H2020/862409/">
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">862409</dct:identifier>
    <dct:title>Blue-Cloud: Piloting innovative services for Marine Research &amp; the Blue Economy</dct:title>
    <frapo:isAwardedBy>
      <foaf:Organization>
        <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/501100000780</dct:identifier>
        <foaf:name>European Commission</foaf:name>
      </foaf:Organization>
    </frapo:isAwardedBy>
  </foaf:Project>
  <foaf:Project rdf:about="info:eu-repo/grantAgreement/EC/H2020/825134/">
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">825134</dct:identifier>
    <dct:title>smART socIal media eCOsytstem in a blockchaiN Federated environment</dct:title>
    <frapo:isAwardedBy>
      <foaf:Organization>
        <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/501100000780</dct:identifier>
        <foaf:name>European Commission</foaf:name>
      </foaf:Organization>
    </frapo:isAwardedBy>
  </foaf:Project>
  <foaf:Project rdf:about="info:eu-repo/grantAgreement/EC/H2020/824068/">
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">824068</dct:identifier>
    <dct:title>ENVironmental Research Infrastructures building Fair services Accessible for society, Innovation and Research</dct:title>
    <frapo:isAwardedBy>
      <foaf:Organization>
        <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/501100000780</dct:identifier>
        <foaf:name>European Commission</foaf:name>
      </foaf:Organization>
    </frapo:isAwardedBy>
  </foaf:Project>
</rdf:RDF>
131
72
views
downloads
Views 131
Downloads 72
Data volume 71.0 MB
Unique views 127
Unique downloads 72

Share

Cite as