# Financial Text Classification

A financial domain sentiment analysis model fine-tuned based on econo-sentence-v2, achieving 96.2% accuracy on the Financial Phrase Bank dataset

Sentiment analysis model optimized for Khmer financial texts, capable of classifying positive/negative sentiments

Modern-FinBERT-large is a pre-trained NLP model specifically designed for financial sentiment analysis. Based on the ModernBERT-large language model, it is trained on large-scale financial corpora to adapt to financial text classification tasks.

FinBERT fine-tuned financial sentiment analysis model, optimized for financial text sentiment classification

Bank transaction classifier fine-tuned based on Flaubert small French model

FinBERT-FOMC is a financial domain language model enhanced for sentiment analysis of FOMC meeting minutes. It improves the accuracy of complex financial sentence analysis by fine-tuning ProsusAI/finbert and adopting sentiment-focused methods.

A stock news sentiment classification model fine-tuned based on the DistilBERT architecture, excelling in financial news text classification tasks

A cryptocurrency market sentiment analysis model fine-tuned based on ProsusAI/finbert

FinBERT-PT-BR is a pre-trained NLP model specifically designed for sentiment analysis of Brazilian Portuguese financial texts.

This is a model based on sentence-transformers, specifically fine-tuned for financial text classification tasks, capable of mapping sentences and paragraphs into a 768-dimensional vector space.