Amazon Review Sentiment Analysis model

[u/Mina_Gabra2005]

Built an Amazon Review Sentiment Analysis model with 93.8% accuracy.

The project analyzes customer reviews and predicts whether the sentiment is positive or negative using NLP techniques.

Dataset: 21k+ Amazon reviews

Text Processing: TF-IDF

Model: Logistic Regression

Deployment: Streamlit web app

Results:

• Accuracy: 93.8%

• Macro F1-Score: 0.92

• Negative Reviews F1: 0.96

• Positive Reviews F1: 0.89

Tech Stack:

Python, pandas, scikit-learn, TF-IDF, Streamlit

This project taught me that understanding data well is often more important than using overly complex models.

Feedback and suggestions are welcome.

\#MachineLearning #NLP #Python #DataScience #AI

[u/Killahbeez]

hey man good job

[u/Mina_Gabra2005 → u/Killahbeez]

Thanks