4 papers
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…
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…
Tail maximal dependence in bivariate models: estimation and applications
Ning Sun, Chen Yang, Ričardas Zitikis
Assessing dependence within co-movements of financial instruments has been of much interest in risk management. Typically, indices of tail dependence are used to quantify the stren…
Detecting systematic anomalies affecting systems when inputs are stationary time series
Ning Sun, Chen Yang, Ričardas Zitikis
We develop an anomaly-detection method when systematic anomalies, possibly statistically very similar to genuine inputs, are affecting control systems at the input and/or output st…