3 papers
cs.CL2026
Distributional sentiment modeling and anomaly detection for consumer complaint assessment
Peiheng Gao, Chen Yang, Shimin Zhang
Sentiment analysis is a common tool for converting unstructured text into quantitative signals in finance and risk management. Yet most applications reduce the output to a discrete…
cs.CL2025
Performance of diverse evaluation metrics in NLP-based assessment and text generation of consumer complaints
Peiheng Gao, Chen Yang, Ning Sun +1
Machine learning (ML) has significantly advanced text classification by enabling automated understanding and categorization of complex, unstructured textual data. However, accurate…
stat.ME2023
NLP-based detection of systematic anomalies among the narratives of consumer complaints
Peiheng Gao, Ning Sun, Xuefeng Wang +2
We develop an NLP-based procedure for detecting systematic nonmeritorious consumer complaints, simply called systematic anomalies, among complaint narratives. While classification…