File size: 450 Bytes
89c40fe 48dc4c9 89c40fe 48dc4c9 |
1 2 3 4 5 6 7 8 9 10 11 |
---
license: mit
metrics:
- accuracy
pipeline_tag: text-classification
---
## Model Training
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`. |