Addressing topic modelling via reduced latent space clustering.

Saved in:
Bibliographic Details
Title: Addressing topic modelling via reduced latent space clustering.
Authors: Schiavon, Lorenzo1, lorenzo.schiavon@unive.it
Source: Statistical Methods & Applications; Mar2025, Vol. 34 Issue 1, p1-20, 20p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 185281784
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Addressing topic modelling via reduced latent space clustering.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Schiavon%2C+Lorenzo%22">Schiavon, Lorenzo</searchLink><relatesTo>1</relatesTo>, <i>lorenzo.schiavon@unive.it</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Statistical+Methods+%26+Applications%22">Statistical Methods & Applications</searchLink>; Mar2025, Vol. 34 Issue 1, p1-20, 20p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185281784
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10260-025-00779-z
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 1
    Titles:
      – TitleFull: Addressing topic modelling via reduced latent space clustering.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Schiavon, Lorenzo
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 16182510
          Numbering:
            – Type: volume
              Value: 34
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Statistical Methods & Applications
              Type: main
ResultId 1