Data Science, Machine Learning, NLP, Transformers, Word Embeddings.
import seaborn as sns sns.heatmap(term_frequencies, annot=True, cbar = False, xticklabels = vocab); Image is created by Rostyslav Neskorozhenyi with seaborn module Another approach in countvectorizing is just to place 1 if the word is found in the document (no matter how often) and 0 if the word is