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ChatGPT : TF-IDF term frequency-inverse document frequency is a numerical statistic that is used to reflect the importance of a word in a document or a collection of documents. It is commonly used in text analysis and information retrieval to determine the relevance of a document to a particular query, and to determine the similarity between documents. TF-IDF is based on the frequency of words within a document, and is therefore sensitive to variations in word order. Skip to content. Sign in Sign up.
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. You switched accounts on another tab or window. Dismiss alert. Instantly share code, notes, and snippets. Recently created Least recently created Recently updated Least recently updated. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters Show hidden characters. Me : is tf-idf sensitive to word order? For example, consider the following two sentences:. Loading Sorry, something went wrong.
Newer Older. Some random document. You can query data for insights, build high quality ML models and easily interface with other Google Cloud services. Remove punctuation. Some keywords we'd like to extract.