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Sentiment Analysis Tool

A machine learning model that classifies customer reviews as positive, negative, or neutral using natural language processing techniques.

Python Data Science NLP
๐Ÿšง

Project documentation coming soon

This page is ready to receive full project documentation โ€” screenshots, a code walkthrough, model performance metrics, and links to the GitHub repository. Content will be added once the project is complete.

About this project

This Sentiment Analysis Tool applies natural language processing to classify customer feedback automatically. Rather than reading hundreds of reviews manually, the model assigns a sentiment label โ€” Positive, Negative, or Neutral โ€” to each input, enabling faster product decisions and quality monitoring.

[Full description to be added once the project is complete.]

Key Features

  • Text preprocessing: tokenization, stop-word removal
  • Three-class classification (Positive / Negative / Neutral)
  • Model accuracy report and confusion matrix
  • Batch processing of CSV review files
  • [More features to be added]

Screenshots


Model output sample
โ€” to be added

Accuracy metrics
โ€” to be added

Project Links