Efi's Demo Lab
Research showcase

What did the diner mean?

Bag-of-Words features feed Random Forest and Naive Bayes classifiers for restaurant review sentiment.

Inside the project

Research showcase
Saved notebook output · sentiment_analysis_restaurants.ipynb
Original artifact ↗

How it works.

Prepare the reviews

Clean text and turn word occurrences into feature vectors.

From the original project.

Saved artifacts · click to inspect

Saved notebook output · sentiment_analysis_restaurants.ipynb
Original artifact ↗
Saved notebook output · sentiment_analysis_restaurants.ipynb
Original artifact ↗
Saved notebook output · sentiment_analysis_restaurants.ipynb
Original artifact ↗

Continue in the source.

Open the source notebook in Jupyter, Colab, or the environment described in the README. Data and model downloads may be required.

git clone https://github.com/eforus-overseer/Sentiment-Analysis-Restaurant-Reviews.git
Read the setup and requirements ↗

Project artifacts.

Source links point to the original public repository. Credit belongs to the project authors and the dependencies credited there.