Using TF-IDF to Determine Word Relevance in Document Queries

This paper examines the results of applying Term Frequency Inverse Document Frequency to determine what words in a corpus of documents might be more favorable to use in a query and provides evidence that this simple algorithm efficiently categorizes relevant words that can enhance query retrieval.