NLP models typically are black boxes in nature due to the large feature space stemming from the complexity of languages. However, explainable AI models seek to try to make clearer what the models are doing and how the classifiers in a given model work.
Given longitudinal data, one should be able to understand how things change over time. Using a longitudinal dataset based on reviews from Amazon, I attempt to understand and visualize the trends of food over the years.