The Algorithm Uses NLP's Bag of Words Model to predict whether a User's review about the food,delivery,customer's service,etc of an imaginary, non relevent restraunt is Positive or Negative.🚀🚀
The process of implementation is given below:-
1)Importing libraries ✅✅
2)Importing datasets ✅✅
3)Cleaning text ✅✅
4)Creating the Bag of Words model ✅✅
5)Training the Naive Bayes model on the Dataset ✅✅
6)Creating Function for a single review. ✅✅
7)Predicting if the entered review is positive or negative ✅✅
Libraries:- Pandas, Numpy, Re, NLTK 📚📚
INSTRUCTIONS:- 🔻🔻🔻
👉👉 Download dataset present in Repo
👉👉 Open .ipynb file through Google Colab
👉👉 Upload dataset through Files->Upload Session Storage
👉👉 Click Runtime->Run ALL
👉👉 Enter your review at last section
THANK YOU!!! 🙏🙏🙏