View in EDS HTML Full Text PDF Full Text

The Power of Words from the 2024 United States Presidential Debates: A Natural Language Processing Approach.

Saved in:
Bibliographic Details
Title: The Power of Words from the 2024 United States Presidential Debates: A Natural Language Processing Approach.
Authors: Jiménez-Preciado, Ana Lorena1 (AUTHOR) ajimenezp@ipn.mx, Álvarez-García, José2 (AUTHOR) pepealvarez@unex.es, Cruz-Aké, Salvador1 (AUTHOR) scruza@ipn.mx, Venegas-Martínez, Francisco1 (AUTHOR) fvenegas1111@yahoo.com.mx
Source: Information. Jan2025, Vol. 16 Issue 1, p2. 18p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 182433561
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: The Power of Words from the 2024 United States Presidential Debates: A Natural Language Processing Approach.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Jiménez-Preciado%2C+Ana+Lorena%22">Jiménez-Preciado, Ana Lorena</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ajimenezp@ipn.mx</i><br /><searchLink fieldCode="AR" term="%22Álvarez-García%2C+José%22">Álvarez-García, José</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> pepealvarez@unex.es</i><br /><searchLink fieldCode="AR" term="%22Cruz-Aké%2C+Salvador%22">Cruz-Aké, Salvador</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> scruza@ipn.mx</i><br /><searchLink fieldCode="AR" term="%22Venegas-Martínez%2C+Francisco%22">Venegas-Martínez, Francisco</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> fvenegas1111@yahoo.com.mx</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Information%22">Information</searchLink>. Jan2025, Vol. 16 Issue 1, p2. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=182433561
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/info16010002
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 2
    Titles:
      – TitleFull: The Power of Words from the 2024 United States Presidential Debates: A Natural Language Processing Approach.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Jiménez-Preciado, Ana Lorena
      – PersonEntity:
          Name:
            NameFull: Álvarez-García, José
      – PersonEntity:
          Name:
            NameFull: Cruz-Aké, Salvador
      – PersonEntity:
          Name:
            NameFull: Venegas-Martínez, Francisco
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: Jan2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 20782489
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Information
              Type: main
ResultId 1