Tagged articles

Financial NLP

6 articles · Page 1 of 1

May 23, 2026 · Cloud Computing

Best Practice: Using EMR Serverless StarRocks AI Function for Financial Text Classification

This article demonstrates how to leverage StarRocks AI Function on EMR Serverless to perform sentiment analysis, intelligent classification, information extraction, and PII redaction on financial text entirely within SQL, eliminating data export, reducing latency, and ensuring compliance while providing concrete code examples, performance benchmarks, and best‑practice recommendations.

AI FunctionEMR ServerlessFinancial NLP

0 likes · 25 min read

Best Practice: Using EMR Serverless StarRocks AI Function for Financial Text Classification

Bighead's Algorithm Notes

Jan 11, 2026 · Artificial Intelligence

FinRpt: A Multi‑Agent Framework for Automatic Generation and Evaluation of Stock Research Reports

FinRpt introduces a novel multi‑agent pipeline that builds a high‑quality stock research report (ERR) dataset from six financial data sources, defines a comprehensive 11‑metric evaluation suite, and demonstrates that supervised‑fine‑tuned and reinforcement‑learned LLM agents significantly outperform single LLM baselines in both accuracy and efficiency.

FinRptFinancial NLPLLM

0 likes · 14 min read

FinRpt: A Multi‑Agent Framework for Automatic Generation and Evaluation of Stock Research Reports

DataFunTalk

Jun 10, 2023 · Artificial Intelligence

Financial Event Analysis and Applications Based on Pre-trained Models

This article introduces the tasks, techniques, and frameworks for financial event analysis using pre‑trained language models, covering unstructured data parsing, event semantics, graph construction, detection, extraction, and prediction, and presents the TDE‑GTEE model that achieves state‑of‑the‑art performance even in few‑shot scenarios.

.aiEvent ExtractionFinancial NLP

0 likes · 18 min read

Financial Event Analysis and Applications Based on Pre-trained Models

DataFunTalk

Jun 16, 2022 · Artificial Intelligence

BigBang Transformer (BBT): A 1‑Billion‑Parameter Financial Pre‑trained Language Model with Time‑Series‑Text Cross‑Modal Architecture

The BigBang Transformer (BBT) is a 1‑billion‑parameter financial pre‑trained language model that combines text and time‑series data in a cross‑modal Transformer architecture, achieving up to 10% higher downstream accuracy than T5‑scale models and demonstrating strong performance on financial NLP tasks, time‑series forecasting, and multi‑factor investment strategies.

Artificial IntelligenceFinancial NLPTime Series Forecasting

0 likes · 19 min read

BigBang Transformer (BBT): A 1‑Billion‑Parameter Financial Pre‑trained Language Model with Time‑Series‑Text Cross‑Modal Architecture

DataFunTalk

Oct 24, 2020 · Artificial Intelligence

FinBERT 1.0: An Open‑Source Chinese Financial Domain Pre‑trained BERT Model and Its Evaluation

FinBERT 1.0 is an open‑source Chinese BERT model pre‑trained on large‑scale financial corpora that achieves 2‑5 % F1 improvements across multiple downstream fintech tasks without additional tuning, demonstrating the value of domain‑specific pre‑training for natural language processing.

BERTChineseDeep Learning

0 likes · 14 min read

FinBERT 1.0: An Open‑Source Chinese Financial Domain Pre‑trained BERT Model and Its Evaluation

DataFunTalk

Jun 28, 2020 · Artificial Intelligence

Applying UDA Semi‑Supervised Learning to Financial Text Classification: Experiments and Insights

This article investigates the practical performance of Google’s 2019 Unsupervised Data Augmentation (UDA) framework on real‑world financial text classification tasks, detailing experiments with limited labeled data, domain‑out‑of‑distribution samples, noisy labels, and comparisons between BERT and lightweight TextCNN models.

BERTFinancial NLPSemi-supervised Learning

0 likes · 21 min read

Applying UDA Semi‑Supervised Learning to Financial Text Classification: Experiments and Insights