Computer‐Assisted Keyword and Document Set Discovery from Unstructured Text
By Gary King, Patrick Lam, Margaret E. Roberts. 2017
208 citations recorded by the source corpus.
Subfields: Artificial Intelligence, General Social Sciences
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Cynthia Rudin
- Zeerak Talat
- Margo I. Seltzer
- Thomas Davidson
- Ingmar Weber
- Debasmita Bhattacharya
- Bertie Vidgen
- Isar Nejadgholi
In General Social Sciences
- Ingmar Weber
- Margo I. Seltzer
- Debasmita Bhattacharya
- Thomas Davidson
- Hongyu Yang
- Zeerak Talat
- Cynthia Rudin
Citations in the corpus
- Scalable Bayesian Rule Lists (2016, methodology): “Rule lists and their variants are currently being used for text processing (King, Lam, & Roberts, 2014), discovering treatment regimes (Zhang, Laber, Tsiatis, & Davidian, 2015), and creating medical risk assessments (Letham et al., 2015; Souillard-Mandar, Davis, Rudin, Au, Libon, Swenson, Price,…”
- Understanding Abuse: A Typology of Abusive Language Detection Subtasks (2017, background): “Still, even partial lexicons may be used as seeds to inductively discover other keywords by use of a semi-supervised method proposed by King et al. (2017).”
- Firm-level Climate Change Exposure (2020, methodology): “14 Electronic copy available at: https://ssrn.com/abstract=3642508 While researchers could, in principle, attempt to create a comprehensive word list, prior work has suggested that humans tend to overlook important phrases when completing such tasks (King, Lam, and Roberts, 2017).”
- Racial Bias in Hate Speech and Abusive Language Detection Datasets (2019, methodology): “Some studies sampled tweets using small, ad hoc sets of key-words created by the authors (Waseem and Hovy, 2016; Waseem, 2016; Golbeck et al., 2017), an approach demonstrated to produce poor results (King et al., 2017).”