hamedR96/ANTM
Aligned Neural Topic Model (ANTM) for Exploring Evolving Topics: a dynamic neural topic model that uses document embeddings (data2vec) to compute clusters of semantically similar documents at different periods, and aligns document clusters to represent topic evolution.
Jupyter NotebookMIT
Stargazers
- Allaa-boutalebSorbonne Université - LIP6/CNRS
- bamobravo
- benearnthofLMU Munich
- BobXWuNanyang Technological University
- Connor-ShenShanghai AI LAB
- ddenleyEdinburgh
- doubianimehdicagnes sur mer
- effyliUniversity of Amsterdam
- emanuel-passosUniversidade Federal do Maranhão - UFMA
- hamedR96Sorbonne Universite
- hbamboo
- HUNG-rushbCMC
- hxtruong6Ho Chi Minh City
- j-94
- JackMcCoy
- JeffCarpenterCanada
- JinchaoLoveThe Chinese University of Hong Kong
- JuethroIndonesia
- Kaizen-yzq
- keithcallenbergCalgorithms LLC
- manika-lambaUniversity of Oklahoma, School of Library and Information Studies
- nobrowningBeihang University
- nolll77
- Nostalgic7312
- nschlemmcoder nostra GmbH
- RPaseckySeattle, WA
- samuelrinceAlygne
- sufianj
- sysyMCGEMASS (CNRS, Sorbonne Université)
- unalee0
- yingtaoxueren
- yrcmpbllGermany
- ytshao101Duke University
- YuheBAISorbonne University