🍽️ 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.

Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
__pycache__		__pycache__
static		static
templates		templates
.DS_Store		.DS_Store
.gitignore		.gitignore
LICENSE		LICENSE
Procfile		Procfile
README.md		README.md
RestaurantReviews.gif		RestaurantReviews.gif
Restaurant_Reviews_MediumSizeDataset.ipynb		Restaurant_Reviews_MediumSizeDataset.ipynb
doc2vec-model.pkl		doc2vec-model.pkl
load_data.py		load_data.py
requirements.txt		requirements.txt
restaurant-sentiment-rf-model.pkl		restaurant-sentiment-rf-model.pkl
restaurant_reviews.py		restaurant_reviews.py
restaurant_reviews_mediumsizedataset.py		restaurant_reviews_mediumsizedataset.py
reviews_final.csv		reviews_final.csv
run.py		run.py
runtime.txt		runtime.txt
tfidf-model.pkl		tfidf-model.pkl