# Financial Text Processing

Modernbert Base Ft Financial News Sentiment Analysis
Apache-2.0
A ModernBERT-base fine-tuned model for financial news sentiment analysis, achieving an F1 score of 0.9765 on the evaluation set
Text Classification Transformers
M
mrm8488
46
1
Chinese Sentiment Analysis Fund Direction
Apache-2.0
A Chinese sentiment analysis model based on BERT architecture, specifically optimized for fund-related texts, supporting negative, positive, and neutral sentiment classification.
Text Classification Transformers Chinese
C
sanshizhang
111
8
SSAF FinBert
MIT
SSAF-FinBert is a sentiment analysis model for stock market news, fine-tuned from FinBert, capable of classifying financial texts into positive, negative, and neutral sentiments.
Text Classification Transformers
S
likith123
69
2
Finance Ner V0.0.8 Finetuned Ner
MIT
This model is a named entity recognition model fine-tuned on a financial domain dataset, capable of accurately identifying named entities in financial texts.
Sequence Labeling Transformers
F
AhmedTaha012
116
2
Japanese Sentiment Analysis
Japanese sentiment analysis model trained on the chABSA dataset with 100% accuracy
Text Classification Transformers Japanese
J
jarvisx17
7,152
13
Financial Sentiment Model
Apache-2.0
This model is a financial text sentiment classification model fine-tuned on the financial_phrasebank dataset based on deepmind/language-perceiver.
Text Classification Transformers
F
oandreae
15
1
Finbert
FinBERT is a pre-trained natural language processing model specifically designed for financial text sentiment analysis
Large Language Model English
F
ProsusAI
1.6M
864
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