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README.md
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results:
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- task:
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type: text-classification
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name: Sentiment Analysis
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dataset:
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name: RenatoBarreira/BERT-Vi_Trainning_data
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metrics:
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- name:
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type:
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value: 94.07
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- name: Accuracy
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type:
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value: 94.07
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pipeline_tag: text-classification
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library_name: bertopic
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results:
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- task:
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type: text-classification
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dataset:
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name: RenatoBarreira/BERT-Vi_Trainning_data
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metrics:
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- name: Test Set Performance
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type: F1-Score
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value: 94.07
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verified: false
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- name: Accuracy
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type: Accuracy
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value: 94.07
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verified: false
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pipeline_tag: text-classification
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library_name: bertopic
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---
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<img src="bertvi.webp" alt="Texto alternativo" title="Bert-Vi" width="400">
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**PROJETO BERT-VI**
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Modelos Bertimbau treinados para análise de texto político.
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[![GitHub](https://img.shields.io/badge/GitHub-Profile-blue?logo=github)](https://github.com/renatobarreira/BERT-VI)
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<div style="display: flex; align-items: center;">
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<img src="ppgcp.png" alt="Texto alternativo" title="PPGCP - UNIRIO" width="100">
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<img src="PPGI.png" alt="Texto alternativo" title="PPGI - UNIRIO" width="100">
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</div>
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