1 citations · 2 across the 5 of their papers we have counts for
3 papers · 1 filter
Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models
Kai-Robin Lange, Tobias Schmidt, Matthias Reccius +3
With rapidly evolving media narratives, it has become increasingly critical to not just extract narratives from a given corpus but rather investigate, how they develop over time. W…
Identifying economic narratives in large text corpora -- An integrated approach using Large Language Models
Tobias Schmidt, Kai-Robin Lange, Matthias Reccius +3
As interest in economic narratives has grown in recent years, so has the number of pipelines dedicated to extracting such narratives from texts. Pipelines often employ a mix of sta…
ttta: Tools for Temporal Text Analysis
Kai-Robin Lange, Niklas Benner, Lars Grönberg +4
Text data is inherently temporal. The meaning of words and phrases changes over time, and the context in which they are used is constantly evolving. This is not just true for socia…