Analysing Longitudinal Social Science Questionnaires: Topic modelling with BERT-based Embeddings

Vida Sharifian-Attar, Suparna De, Sanaz Jabbari, Jenny Li, Harry Moss, Jon Johnson. Analysing Longitudinal Social Science Questionnaires: Topic modelling with BERT-based Embeddings. In Shusaku Tsumoto, Yukio Ohsawa, Lei Chen 0002, Dirk Van den Poel, Xiaohua Hu 0001, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan 0001, editors, IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022. pages 5558-5567, IEEE, 2022. [doi]

@inproceedings{SharifianAttarDJLMJ22,
  title = {Analysing Longitudinal Social Science Questionnaires: Topic modelling with BERT-based Embeddings},
  author = {Vida Sharifian-Attar and Suparna De and Sanaz Jabbari and Jenny Li and Harry Moss and Jon Johnson},
  year = {2022},
  doi = {10.1109/BigData55660.2022.10020678},
  url = {https://doi.org/10.1109/BigData55660.2022.10020678},
  researchr = {https://researchr.org/publication/SharifianAttarDJLMJ22},
  cites = {0},
  citedby = {0},
  pages = {5558-5567},
  booktitle = {IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022},
  editor = {Shusaku Tsumoto and Yukio Ohsawa and Lei Chen 0002 and Dirk Van den Poel and Xiaohua Hu 0001 and Yoichi Motomura and Takuya Takagi and Lingfei Wu and Ying Xie and Akihiro Abe and Vijay Raghavan 0001},
  publisher = {IEEE},
  isbn = {978-1-6654-8045-1},
}