/sentiment-analysis

Sentiment Analysis model

Primary LanguageJupyter Notebook

Sentiment Analysis

  • Data loading
  • Cleanup and text embedding strategy
  • Create Sklearn Pipeline to train and deploy model with preprocessing steps.
  • Model Evaluation
  • Save model

Deployment Options

  • FastAPI with Google App Engine - Completed - but stopped due to Cloud Costs
  • Deployed with Container Registry & Cloud Run.

Future Scope

  • Move model accuracy:
    • Using better text embedding techniques
    • Better model than RandomForest or try hyperparameter tuning