#Predicting the usefulness of Online reviews using machine learning
This project is aimed at predicting the usefulness of online reviews based on Machine Learning
In this project we use the Online reviews dataset provided by yelp for Kaggle Competition. https://www.kaggle.com/c/yelp-recruiting/download/yelp_training_set.zip
We try and predict the Number of useful votes a Yelp review would get by training different regression machine learning models such as ADA BOOST,RANDOM FOREST REGRESSOR,SVM
The Following Features are used to train the model
- Reviewer(Attributes of the reviewer - Number of Stars,Number of Checkins etc)
- Business(Attributes of the Business being reviewed)
- Review Text(eg: Stemmed Words,Sentiment etc)