TF-IDF (Term Frequency-Inverse Document Frequency) and Text Classification are fundamental concepts in the field of natural language processing and information retrieval. TF-IDF is a technique that assesses the importance of words within a document relative to their frequency across a collection of documents. It is widely used for text mining, information retrieval, and search engines to rank the significance of words in a document.
In a world increasingly driven by data and information, text classification stands as a fundamental pillar of natural language processing. Whether you’re browsing through your social media feed, searching for the perfect recipe online, or sifting through your email inbox, text classification plays an invisible yet pivotal role in organizing and understanding the …