TF-IDF is one of the most popular measures that quantify document relevance for a given term. It is extensively used in Information Retrieval (ex: Search Engines), Text Mining, and even for text-heavy Machine Learning use cases like Document Classification and Clustering. Today we explore the better half of TF-IDF and see its connection with Probability, the role it plays in TF-IDF, and even the intuition behind it.
Understanding Inverse Document Frequency
Understanding Inverse Document Frequency
Understanding Inverse Document Frequency
TF-IDF is one of the most popular measures that quantify document relevance for a given term. It is extensively used in Information Retrieval (ex: Search Engines), Text Mining, and even for text-heavy Machine Learning use cases like Document Classification and Clustering. Today we explore the better half of TF-IDF and see its connection with Probability, the role it plays in TF-IDF, and even the intuition behind it.