Text Classification
Scikit-learn
Indonesian
sentiment-analysis
nlp
naive-bayes
e-commerce
indonesian
Instructions to use ZakyF/sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use ZakyF/sentiment-analysis with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("ZakyF/sentiment-analysis", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- id
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metrics:
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- accuracy
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pipeline_tag: text-classification
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library_name: sklearn
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tags:
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- id
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metrics:
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- accuracy
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evaluation:
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- task:
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type: text-classification
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name: Sentiment Analysis
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metrics:
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- name: Accuracy
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type: accuracy
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value: 1.0
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- name: Cross-Validation Accuracy
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type: accuracy
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value: 0.99981
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pipeline_tag: text-classification
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library_name: sklearn
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tags:
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