

Model_USE is a pre-trained NLP model to analyze the sentiment of financial or economic commentary, tweet, or news. 
It is built upon Universal Sentence Encoder (USE) and fine-tuned for financial sentiment classification purposes. 
Financial Phrasebank's 'agreeall' dataset was used for fine-tuning.  

{"language": ["en"], "library_name": "keras", "tags": ["finance"], "datasets": ["financial_phrasebank"], "metrics": ["precision"], "pipeline_tag": "text-classification"}
keras finance text-classification en dataset:financial_phrasebank region:us
TAGS
#keras #finance #text-classification #en #dataset-financial_phrasebank #region-us 



Model_USE is a pre-trained NLP model to analyze the sentiment of financial or economic commentary, tweet, or news. 
It is built upon Universal Sentence Encoder (USE) and fine-tuned for financial sentiment classification purposes. 
Financial Phrasebank's 'agreeall' dataset was used for fine-tuning.  

TAGS
#keras #finance #text-classification #en #dataset-financial_phrasebank #region-us 
