Distributional sentiment modeling and anomaly detection for consumer complaint assessment

arXiv:2609.31653 · cs.CL, cs.LG, stat.AP · Submitted 2026-09-14 · Read on arXiv

cs.CL, cs.LG, stat.AP

Submitted: 2026-09-14

Updated: 2026-09-14

Terminology

• Transformer — 13× in this paper · explained in 2 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Bayesian Optimization — 2× in this paper · explained in 3 episodes
• Consumer Financial Protection Bureau — 2× in this paper
• Hallucination — 2× in this paper · explained in 3 episodes
• Knowledge Graph — 2× in this paper · explained in 7 episodes
• Knowledge graphs — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• FinBERT: Financial Sentiment Analysis with Pre-trained Language Models
• Shrinkage Estimators for Beta Regression Models
• RoBERTa: A Robustly Optimized BERT Pretraining Approach
• Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
• From Complaint Narratives to Monetary Relief: A Hybrid Machine Learning Framework for CFPB Consumer Complaints
• HELLINGER-UCB: A novel algorithm for stochastic multi-armed bandit problem and cold start problem in recommender system
• Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysis

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