Aeonium: Visual analytics to support collaborative qualitative coding

@article{Drouhard2017AeoniumVA,
  title={Aeonium: Visual analytics to support collaborative qualitative coding},
  author={Margaret Drouhard and Nan-Chen Chen and Jina Suh and Rafal Kocielnik and Vanessa Pe{\~n}a Araya and Keting Cen and Xiangyi Zheng and Cecilia R. Aragon},
  journal={2017 IEEE Pacific Visualization Symposium (PacificVis)},
  year={2017},
  pages={220-229}
}
Qualitative coding offers the potential to obtain deep insights into social media, but the technique can be inconsistent and hard to scale. Researchers using qualitative coding impose structure on unstructured data through “codes” that represent categories for analysis. Our visual analytics interface, Aeonium, supports human insight in collaborative coding through visual overviews of codes assigned by multiple researchers and distributions of important keywords and codes. The underlying machine… CONTINUE READING