What did the diner mean?
Bag-of-Words features feed Random Forest and Naive Bayes classifiers for restaurant review sentiment.
Inside the project
Research showcaseOriginal 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
Original artifact ↗
Original artifact ↗
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.gitRead 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.