Sentiment-Analysis-using-Recurrent-Neural-Networks

This project is on sentiment analysis and prediction. Here I have built a model that can read in some text and make a prediction about the sentiment of that text, whether it is positive or negative. I'll be training the model on a dataset of movie reviews from IMDB that have been labeled either "positive" or "negative". Since this is text data, words in a sequence, we can use an RNN to build a model that doesn't only consider the individual words, but the order they appear in. This leads to a powerful model for making these types of sentiment predictions. [incomplete]