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--- |
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license: mit |
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language: |
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- en |
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metrics: |
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- accuracy |
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library_name: sklearn |
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pipeline_tag: text-classification |
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tags: |
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- code |
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--- |
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## Model Training |
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The sentiment analysis model is trained using a Support Vector Machine (SVM) classifier with a linear kernel. The cleaned text data is transformed into a bag-of-words representation using the CountVectorizer. The trained model is saved as `Sentiment_classifier_model.joblib`, and the corresponding TF-IDF vectorizer is saved as `vectorizer_model.joblib`. |
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# Download the Vectorizer model first and load the model : |
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# Usage : |
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