Sentiment Prediction Accuracy Using ML & AI
This project achieved above 90% accuracy in predicting sentiment (positive or negative) from consumer reviews using Logistic Regression and Long Short-Term Memory (LSTM). The open yelp dataset was used for this project.
Geospatial Information Science
at
University of Maryland, College Park
