Identifying Creative Content at the Page Level in the HathiTrust Digital Library Using Machine Learning Methods on Text and Image Features

Nikolaus Nova Parulian, Glen Worthey. Identifying Creative Content at the Page Level in the HathiTrust Digital Library Using Machine Learning Methods on Text and Image Features. In Katharina Toeppe, Hui Yan, Samuel Kai-Wah Chu, editors, Diversity, Divergence, Dialogue - 16th International Conference, iConference 2021, Beijing, China, March 17-31, 2021, Proceedings, Part I. Volume 12645 of Lecture Notes in Computer Science, pages 478-489, Springer, 2021. [doi]

@inproceedings{ParulianW21,
  title = {Identifying Creative Content at the Page Level in the HathiTrust Digital Library Using Machine Learning Methods on Text and Image Features},
  author = {Nikolaus Nova Parulian and Glen Worthey},
  year = {2021},
  doi = {10.1007/978-3-030-71292-1_37},
  url = {https://doi.org/10.1007/978-3-030-71292-1_37},
  researchr = {https://researchr.org/publication/ParulianW21},
  cites = {0},
  citedby = {0},
  pages = {478-489},
  booktitle = {Diversity, Divergence, Dialogue - 16th International Conference, iConference 2021, Beijing, China, March 17-31, 2021, Proceedings, Part I},
  editor = {Katharina Toeppe and Hui Yan and Samuel Kai-Wah Chu},
  volume = {12645},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-71292-1},
}