[MINI] Natural Language Processing

This podcast explores the concepts and techniques of natural language processing, including stemming, n-grams, part of speech tagging, and the bag of words approach. It discusses the challenges and applications of training computers to understand and recognize words in sentences and emphasizes the importance of word context and sequences in extracting meaning. The limitations of the 'bag of words' approach are highlighted, and examples are given to demonstrate how word frequency counts can be used to detect similarities between books.