Significant themes in 19th-century literature

By Matthew L. Jockers, David Mimno. 2013

162 citations recorded by the source corpus.

Subfields: Artificial Intelligence, General Social Sciences

View Paper: https://www.semanticscholar.org/paper/9d8f49168f676d44d0870ba3241b380740937bf4

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

1. Diyi Yang
2. Jiaao Chen
3. Omar Shaikh
4. Caleb Ziems
5. Weiwei Zhang
6. Zhehao Zhang
7. Jackie Chi Kit Cheung
8. Joel Oren

In General Social Sciences

1. Diyi Yang
2. Jackie Chi Kit Cheung
3. Jiaao Chen

Citations in the corpus

• Can Large Language Models Transform Computational Social Science? (2023, background): “Literary studies are closely tied to the analysis of themes (Jockers and Mimno, 2013), settings (Piper et al.”
• Generating Character Descriptions for Automatic Summarization of Fiction (2019, background): “…(Elsner 2012; Bamman, Underwood, and Smith 2014; Vala et al. 2015), narrative analysis (Halpin, Moore, and Robertson 2004; Piper 2015), topic modeling (Jockers and Mimno 2013; Goldstone and Underwood 2014), geographic imagination (Wilkens 2013), and folk-loristics (Broadwell and Tangherlini 2017).”