Predict Ratings from Reviews on Yelp
- Used 100,000 Yelp reviews and ratings to build a classifier, conducted sentiment analysis, and constructed a word cloud to exhibit words for good and bad reviews respectively.
- Implemented an 81%+ accurate self-designed Neural Network model to predict ratings from reviews, which had 2 hidden layers with 16 and 8 neurons in each layer, used ReLU as activation function and used Sigmoid as output layer.
Xinran (Katherine) Zhang
Aspiring Data Scientist
Look forward to applying what I’ve learned to make a positive impact on the world