Graph-based Topic Extraction Using Centroid Distance of Phrase Embeddings on Healthy Aging Open-ended Survey Questions

Dijana Kosmajac, Kirstie Smith, Vlado Keselj, Susan Kirkland. Graph-based Topic Extraction Using Centroid Distance of Phrase Embeddings on Healthy Aging Open-ended Survey Questions. In Giuseppe Di Fatta, Victor S. Sheng, Alfredo Cuzzocrea, Carlo Zaniolo, Xindong Wu 0001, editors, 20th International Conference on Data Mining Workshops, ICDM Workshops 2020, Sorrento, Italy, November 17-20, 2020. pages 621-628, IEEE, 2020. [doi]

@inproceedings{KosmajacSKK20,
  title = {Graph-based Topic Extraction Using Centroid Distance of Phrase Embeddings on Healthy Aging Open-ended Survey Questions},
  author = {Dijana Kosmajac and Kirstie Smith and Vlado Keselj and Susan Kirkland},
  year = {2020},
  doi = {10.1109/ICDMW51313.2020.00088},
  url = {https://doi.org/10.1109/ICDMW51313.2020.00088},
  researchr = {https://researchr.org/publication/KosmajacSKK20},
  cites = {0},
  citedby = {0},
  pages = {621-628},
  booktitle = {20th International Conference on Data Mining Workshops, ICDM Workshops 2020, Sorrento, Italy, November 17-20, 2020},
  editor = {Giuseppe Di Fatta and Victor S. Sheng and Alfredo Cuzzocrea and Carlo Zaniolo and Xindong Wu 0001},
  publisher = {IEEE},
  isbn = {978-1-7281-9012-9},
}