In this section, we will learn how to build a sentiment analysis model from scratch using Keras. To perform sentiment analysis, we will use sentiment analysis data from the University of Michigan that is available at https://www.kaggle.com/c/si650winter11/data. This dataset contains 7,086 movie reviews with labels. Label 1 denotes a positive sentiment, while 0 denotes a negative sentiment. In the repository, the dataset is stored in the file named sentiment.txt.
Building the sentiment analysis model
Pre-processing data
Once you have installed the requisite packages (can be found in a requirements.txt file with the code) to run this project and read the data, the next step is to preprocess the...
