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  <titleInfo>
    <title>A corpus-assisted study of sentiment polarity in U.S. media coverage of Trump and Biden's speeches</title>
  </titleInfo>
  <name type="personal">
    <namePart>Sayyab Ayyaz (60415)</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Islamabad</placeTerm>
    </place>
    <publisher>(unpublished)</publisher>
    <dateIssued>2026</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <physicalDescription>
    <extent>xiv, 93 p. : ill. ; 30 cm.</extent>
  </physicalDescription>
  <note>Submitted in partial fulfillment of the requirements for the degree of Master of Philosophy in English Linguistics to Faculty of Social Sciences and Humanities.</note>
  <note>Includes bibliographical and references </note>
  <note>Thesis Supervisor: Dr. Saqlain Hassan</note>
  <note>Thesis (M.Phil)-Riphah International University, 2026</note>
  <note>English</note>
  <subject>
    <topic>English Linguistics</topic>
    <topic>Political discourse</topic>
    <topic>Donald Trump</topic>
    <topic>Sentiment polarity</topic>
    <topic>Media studies</topic>
    <topic>FSSH</topic>
  </subject>
  <classification authority="ddc">420 SAY</classification>
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    <recordContentSource authority="marcorg"/>
    <recordChangeDate encoding="iso8601">20260505165737.0</recordChangeDate>
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