Close and distant reading via named entity network visualization: A case study of Women Writers Online

@inproceedings{Campbell2018CloseDistantReading,
  author    = {Campbell, Sarah and Yu, Zheng-yan and Connell, Sarah and Dunne, Cody},
  booktitle = {Proc.\ 3rd Workshop on Visualization for the Digital Humanities},
  title     = {Close and distant reading via named entity network visualization: A case study of {Women Writers Online}},
  year      = {2018},
  note      = {Preprint \& Supplemental Material: https://github.com/VisDunneRight/WWOVis/},
  series    = {VIS4DH},
  abstract  = {Close reading and distant reading are widely used in digital humanities and can benefit from information visualizations. Digital humanities scholars have curated numerous TEI-encoded textual collections which provide the data necessary for blending both close and distant reading – however we do not have tools to support general users in conducting these blended analyses. In this paper we focus on one such collection: Women Writers Online (WWO). We contribute the design and implementation of a multiple coordinated view network visualization to facilitate close and distant reading in WWO and a transparent view into our iterative design process to help guide future designers and humanists in applying our approach to other textual collections.}
}

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