| datasets: | |
| - financial_phrasebank | |
| language: | |
| - en | |
| metrics: | |
| - precision | |
| library_name: keras | |
| pipeline_tag: text-classification | |
| tags: | |
| - finance | |
| 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. | |