Showing cs.CLShow all
3 papers · 1 filter
cs.CL2026
Extracting Consumer Insight from Text: A Large Language Model Approach to Emotion and Evaluation Measurement
Stephan Ludwig, Peter J. Danaher, Xiaohao Yang +4
Accurately measuring consumer emotions and evaluations from unstructured text remains a core challenge for marketing research and practice. This study introduces the Linguistic eXt…
cs.CL2025
Neural Topic Modeling with Large Language Models in the Loop
Xiaohao Yang, He Zhao, Weijie Xu +4
Topic modeling is a fundamental task in natural language processing, allowing the discovery of latent thematic structures in text corpora. While Large Language Models (LLMs) have d…
cs.CL2025
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models
Xiaohao Yang, He Zhao, Dinh Phung +2
Topic modeling has been a widely used tool for unsupervised text analysis. However, comprehensive evaluations of a topic model remain challenging. Existing evaluation methods are e…