"Analysing Longitudinal Social Science Questionnaires: Topic modelling with ..."

Vida Sharifian-Attar et al. (2022)

> Home

Details and statistics

DOI: 10.1109/BIGDATA55660.2022.10020678

access: closed

type: Conference or Workshop Paper

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/bigdataconf/SharifianAttarDJLMJ22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bigdataconf/SharifianAttarDJLMJ22
Vida Sharifian-Attar, Suparna De, Sanaz Jabbari, Jenny Li, Harry Moss, Jon Johnson:
Analysing Longitudinal Social Science Questionnaires: Topic modelling with BERT-based Embeddings. IEEE Big Data 2022: 5558-5567

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.