Skip to content

Latest commit

 

History

History
22 lines (17 loc) · 692 Bytes

File metadata and controls

22 lines (17 loc) · 692 Bytes

🍽️ Sentiment Analysis_Restaurant Reviews

Predict sentiment(+ve / -ve) of Restaurant Reviews using NLP.

To view a live example, click here

This repo consists of 2 parts:

  • Back-End
    • Consists of pyhton code for implementing sentiment analysis using TFIDF & RandomForestClassifier algorithms.
    • Datasets on which the model has been trained
  • Front-End
    • Website built with Flask app, which helps User to enter his review and see the prediction.

Installation instructions:

  • Clone the repo
  • pip install -r requirements.txt