The article discusses Natural Language Processing (NLP), specifically, transformers and tokenization in Python. Transformers handle text in chunks rather than sequentially, making them efficient for tasks like summarization. It provides an example using the Hugging Face library to demonstrate text summarization and tokenization, key processes involved in preparing text for analysis.