Understanding TF-IDF in NLP: A Comprehensive Guide

Natural Language Processing (NLP) is an area of computer science that focuses on the interaction between human language and computers. One of the fundamental tasks of NLP is to extract relevant information from large volumes of unstructured data. In this article, we will explore one of the most popular techniques used in NLP called TF-IDF. TF-IDF is a numerical statistic that reflects the importance of a word in a document. It is commonly used in NLP to represent the relevance of a term to a document or a corpus of documents.