View in EDS HTML Full Text PDF Full Text

Investigating Topic Modeling Techniques to Extract Meaningful Insights in Italian Long COVID Narration.

Saved in:
Bibliographic Details
Title: Investigating Topic Modeling Techniques to Extract Meaningful Insights in Italian Long COVID Narration.
Authors: Scarpino, Ileana1 (AUTHOR) ileana.scarpino@unicz.it, Zucco, Chiara1,2 (AUTHOR) ileana.scarpino@unicz.it, Vallelunga, Rosarina1 (AUTHOR), Luzza, Francesco3 (AUTHOR), Cannataro, Mario1,2 (AUTHOR)
Source: BioTech. Sep2022, Vol. 11 Issue 3, p41-41. 14p.
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: 159272612
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Investigating Topic Modeling Techniques to Extract Meaningful Insights in Italian Long COVID Narration.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Scarpino%2C+Ileana%22">Scarpino, Ileana</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ileana.scarpino@unicz.it</i><br /><searchLink fieldCode="AR" term="%22Zucco%2C+Chiara%22">Zucco, Chiara</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> ileana.scarpino@unicz.it</i><br /><searchLink fieldCode="AR" term="%22Vallelunga%2C+Rosarina%22">Vallelunga, Rosarina</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Luzza%2C+Francesco%22">Luzza, Francesco</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cannataro%2C+Mario%22">Cannataro, Mario</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22BioTech%22">BioTech</searchLink>. Sep2022, Vol. 11 Issue 3, p41-41. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=159272612
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/biotech11030041
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 41
    Titles:
      – TitleFull: Investigating Topic Modeling Techniques to Extract Meaningful Insights in Italian Long COVID Narration.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Scarpino, Ileana
      – PersonEntity:
          Name:
            NameFull: Zucco, Chiara
      – PersonEntity:
          Name:
            NameFull: Vallelunga, Rosarina
      – PersonEntity:
          Name:
            NameFull: Luzza, Francesco
      – PersonEntity:
          Name:
            NameFull: Cannataro, Mario
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 26736284
          Numbering:
            – Type: volume
              Value: 11
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: BioTech
              Type: main
ResultId 1