TF-IDF
TF-IDF stands for Term Frequency-Inverse Document Frequency. It is a numerical statistic that is used to reflect how important a word is to a document in a collection or corpus. The TF-IDF value increases proportionally to the number of times a word appears in the document and is offset by the frequency of the word in the corpus, which helps to adjust for the fact that some words appear more frequently in general. This technique is commonly used in information retrieval and text mining to determine the relevance of a document to a user's query. The TF-IDF algorithm is based on the idea that words that occur frequently in a document but rarely in the corpus are more important than words that occur frequently in both the document and the corpus.
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