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Finbertptbr
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Finbertptbr

Developed by turing-usp
FinBertPTBR is a pre-trained NLP model for analyzing sentiment tendencies in Brazilian Portuguese financial texts.
Large Language Model
Transformers
 OtherOpen Source License:Apache-2.0#Brazilian Financial Text Analysis#Portuguese Sentiment Classification#BERTimbau Fine-tuning
Downloads 72
Release Time : 3/2/2022

Model Overview

This model is based on the BERTimbau language model, adapted through training on a large financial corpus and fine-tuned for financial sentiment classification tasks.

Model Features

Financial Domain Adaptation
Pre-trained on a large financial corpus, specifically optimized for financial text analysis
Sentiment Analysis
Capable of identifying sentiment tendencies in Brazilian Portuguese financial texts
Based on BERTimbau
Built upon the well-established Portuguese BERT model with strong language understanding capabilities

Model Capabilities

Financial Text Sentiment Classification
Portuguese Natural Language Processing
Financial News Analysis

Use Cases

Financial Market Analysis
Financial News Sentiment Analysis
Analyze sentiment tendencies in financial news and market commentaries
Helps predict market sentiment changes
IPO Price Prediction
Analyze market sentiment factors influencing IPO pricing
Investment Decision Support
Market Trend Analysis
Identify market trends by analyzing large volumes of financial texts
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